Columbia University
Room 1005 SSW, MC 4690
1255 Amsterdam Avenue
New York, NY 10027
Phone: 212.851.2132
Fax: 212.851.2164
Title | Author | Supervisor |
---|---|---|
"Statistical analysis of low-frequency earthquake catalogs" |
Title | Author | Supervisor |
---|---|---|
"Estimating Population Size Using the Network Scale Up Method" |
Title | Author | Supervisor |
---|---|---|
"A Resampling Approach to Clustering with Confidence" | ||
"Feedforward Control and Process Improvement for Some Disturbance Models" |
Title | Author | Supervisor |
---|---|---|
"On Left-Stochastic Decomposition Clustering" | ||
"Joint Probabilistic Projection of Male and Female Life Expectancy" |
Title | Author | Supervisor |
---|---|---|
"Saturated Long-Chain Acyl-CoA Synthesis, A Novel Link Between TNFa and Saturated Fatty Acids in Endothelial Dysfunction" | ||
"Probabilistic Visibility Forecasting Using Bayesian Model Averaging" |
Title | Author | Supervisor |
---|---|---|
"Survival Analysis of Internal-Censored Data with Application to the Time-to-Depletion of Connecting-Peptide in Type I Diabetes" | ||
"Finding Optimal Sample Size Using Binomial Power Function Properties" |
Title | Author | Supervisor |
---|---|---|
"Ricean Parameter Estimation Using Phase Information in Low SNR Environments" |
Title | Author | Supervisor |
---|---|---|
"On the performance of IT vendors in online service marketplaces: does a vendor's reputation matter?" |
Title | Author | Supervisor |
---|---|---|
"Investigating effects of the choice of latent variable distribution for the two parameter logistic response model" | , | |
"Analysis of Haplotype Structure: Application to the DARC Gene Region" |
Title | Author | Supervisor |
---|---|---|
"Assessing the detrended fluctuation analysis method of estimating the Hurst coefficient" | , , |
Title | Author | Supervisor |
---|---|---|
"Mixture modeling of count data with excess zero-values: An application to Dungeness crab catch estimation" |
Title | Author | Supervisor |
---|---|---|
"Hierarchical agglomerative clustering and linear mixed-effects models applied to small-scale dental clinical trials" | , |
Title | Author | Supervisor |
---|---|---|
"A regularized contrast statistic for object boundary estimation: Implementation and statistical evaluation" |
Title | Author | Supervisor |
---|---|---|
"A diffusion model for within-species and between-species" |
Title | Author | Supervisor |
---|---|---|
"Population size estimation for the western Arctic stock of bowhead whale: A Bayes/empirical Bayes approach" |
Run a free plagiarism check in 10 minutes, generate accurate citations for free.
Published on July 9, 2020 by Pritha Bhandari . Revised on June 21, 2023.
Descriptive statistics summarize and organize characteristics of a data set. A data set is a collection of responses or observations from a sample or entire population.
In quantitative research , after collecting data, the first step of statistical analysis is to describe characteristics of the responses, such as the average of one variable (e.g., age), or the relation between two variables (e.g., age and creativity).
The next step is inferential statistics , which help you decide whether your data confirms or refutes your hypothesis and whether it is generalizable to a larger population.
Types of descriptive statistics, frequency distribution, measures of central tendency, measures of variability, univariate descriptive statistics, bivariate descriptive statistics, other interesting articles, frequently asked questions about descriptive statistics.
There are 3 main types of descriptive statistics:
You can apply these to assess only one variable at a time, in univariate analysis, or to compare two or more, in bivariate and multivariate analysis.
Discover proofreading & editing
A data set is made up of a distribution of values, or scores. In tables or graphs, you can summarize the frequency of every possible value of a variable in numbers or percentages. This is called a frequency distribution .
Gender | Number |
---|---|
Male | 182 |
Female | 235 |
Other | 27 |
From this table, you can see that more women than men or people with another gender identity took part in the study. In a grouped frequency distribution, you can group numerical response values and add up the number of responses for each group. You can also convert each of these numbers to percentages.
Library visits in the past year | Percent |
---|---|
0–4 | 6% |
5–8 | 20% |
9–12 | 42% |
13–16 | 24% |
17+ | 8% |
Measures of central tendency estimate the center, or average, of a data set. The mean, median and mode are 3 ways of finding the average.
Here we will demonstrate how to calculate the mean, median, and mode using the first 6 responses of our survey.
The mean , or M , is the most commonly used method for finding the average.
To find the mean, simply add up all response values and divide the sum by the total number of responses. The total number of responses or observations is called N .
Data set | 15, 3, 12, 0, 24, 3 |
---|---|
Sum of all values | 15 + 3 + 12 + 0 + 24 + 3 = 57 |
Total number of responses | = 6 |
Mean | Divide the sum of values by to find : 57/6 = |
The median is the value that’s exactly in the middle of a data set.
To find the median, order each response value from the smallest to the biggest. Then , the median is the number in the middle. If there are two numbers in the middle, find their mean.
Ordered data set | 0, 3, 3, 12, 15, 24 |
---|---|
Middle numbers | 3, 12 |
Median | Find the mean of the two middle numbers: (3 + 12)/2 = |
The mode is the simply the most popular or most frequent response value. A data set can have no mode, one mode, or more than one mode.
To find the mode, order your data set from lowest to highest and find the response that occurs most frequently.
Ordered data set | 0, 3, 3, 12, 15, 24 |
---|---|
Mode | Find the most frequently occurring response: |
Measures of variability give you a sense of how spread out the response values are. The range, standard deviation and variance each reflect different aspects of spread.
The range gives you an idea of how far apart the most extreme response scores are. To find the range , simply subtract the lowest value from the highest value.
The standard deviation ( s or SD ) is the average amount of variability in your dataset. It tells you, on average, how far each score lies from the mean. The larger the standard deviation, the more variable the data set is.
There are six steps for finding the standard deviation:
Raw data | Deviation from mean | Squared deviation |
---|---|---|
15 | 15 – 9.5 = 5.5 | 30.25 |
3 | 3 – 9.5 = -6.5 | 42.25 |
12 | 12 – 9.5 = 2.5 | 6.25 |
0 | 0 – 9.5 = -9.5 | 90.25 |
24 | 24 – 9.5 = 14.5 | 210.25 |
3 | 3 – 9.5 = -6.5 | 42.25 |
= 9.5 | Sum = 0 | Sum of squares = 421.5 |
Step 5: 421.5/5 = 84.3
Step 6: √84.3 = 9.18
The variance is the average of squared deviations from the mean. Variance reflects the degree of spread in the data set. The more spread the data, the larger the variance is in relation to the mean.
To find the variance, simply square the standard deviation. The symbol for variance is s 2 .
Professional editors proofread and edit your paper by focusing on:
See an example
Univariate descriptive statistics focus on only one variable at a time. It’s important to examine data from each variable separately using multiple measures of distribution, central tendency and spread. Programs like SPSS and Excel can be used to easily calculate these.
Visits to the library | |
---|---|
6 | |
Mean | 9.5 |
Median | 7.5 |
Mode | 3 |
Standard deviation | 9.18 |
Variance | 84.3 |
Range | 24 |
If you were to only consider the mean as a measure of central tendency, your impression of the “middle” of the data set can be skewed by outliers, unlike the median or mode.
Likewise, while the range is sensitive to outliers , you should also consider the standard deviation and variance to get easily comparable measures of spread.
If you’ve collected data on more than one variable, you can use bivariate or multivariate descriptive statistics to explore whether there are relationships between them.
In bivariate analysis, you simultaneously study the frequency and variability of two variables to see if they vary together. You can also compare the central tendency of the two variables before performing further statistical tests .
Multivariate analysis is the same as bivariate analysis but with more than two variables.
In a contingency table, each cell represents the intersection of two variables. Usually, an independent variable (e.g., gender) appears along the vertical axis and a dependent one appears along the horizontal axis (e.g., activities). You read “across” the table to see how the independent and dependent variables relate to each other.
Number of visits to the library in the past year | |||||
---|---|---|---|---|---|
Group | 0–4 | 5–8 | 9–12 | 13–16 | 17+ |
Children | 32 | 68 | 37 | 23 | 22 |
Adults | 36 | 48 | 43 | 83 | 25 |
Interpreting a contingency table is easier when the raw data is converted to percentages. Percentages make each row comparable to the other by making it seem as if each group had only 100 observations or participants. When creating a percentage-based contingency table, you add the N for each independent variable on the end.
Visits to the library in the past year (Percentages) | ||||||
---|---|---|---|---|---|---|
Group | 0–4 | 5–8 | 9–12 | 13–16 | 17+ | |
Children | 18% | 37% | 20% | 13% | 12% | 182 |
Adults | 15% | 20% | 18% | 35% | 11% | 235 |
From this table, it is more clear that similar proportions of children and adults go to the library over 17 times a year. Additionally, children most commonly went to the library between 5 and 8 times, while for adults, this number was between 13 and 16.
A scatter plot is a chart that shows you the relationship between two or three variables . It’s a visual representation of the strength of a relationship.
In a scatter plot, you plot one variable along the x-axis and another one along the y-axis. Each data point is represented by a point in the chart.
From your scatter plot, you see that as the number of movies seen at movie theaters increases, the number of visits to the library decreases. Based on your visual assessment of a possible linear relationship, you perform further tests of correlation and regression.
If you want to know more about statistics , methodology , or research bias , make sure to check out some of our other articles with explanations and examples.
Methodology
Research bias
Descriptive statistics summarize the characteristics of a data set. Inferential statistics allow you to test a hypothesis or assess whether your data is generalizable to the broader population.
The 3 main types of descriptive statistics concern the frequency distribution, central tendency, and variability of a dataset.
If you want to cite this source, you can copy and paste the citation or click the “Cite this Scribbr article” button to automatically add the citation to our free Citation Generator.
Bhandari, P. (2023, June 21). Descriptive Statistics | Definitions, Types, Examples. Scribbr. Retrieved July 1, 2024, from https://www.scribbr.com/statistics/descriptive-statistics/
Other students also liked, central tendency | understanding the mean, median & mode, variability | calculating range, iqr, variance, standard deviation, inferential statistics | an easy introduction & examples, what is your plagiarism score.
Home > Statistics > Dissertations, Theses, and Student Work
Department of statistics: dissertations, theses, and student work.
Examining the Effect of Word Embeddings and Preprocessing Methods on Fake News Detection , Jessica Hauschild
Exploring Experimental Design and Multivariate Analysis Techniques for Evaluating Community Structure of Bacteria in Microbiome Data , Kelsey Karnik
Human Perception of Exponentially Increasing Data Displayed on a Log Scale Evaluated Through Experimental Graphics Tasks , Emily Robinson
Factors Influencing Student Outcomes in a Large, Online Simulation-Based Introductory Statistics Course , Ella M. Burnham
Comparing Machine Learning Techniques with State-of-the-Art Parametric Prediction Models for Predicting Soybean Traits , Susweta Ray
Using Stability to Select a Shrinkage Method , Dean Dustin
Statistical Methodology to Establish a Benchmark for Evaluating Antimicrobial Resistance Genes through Real Time PCR assay , Enakshy Dutta
Group Testing Identification: Objective Functions, Implementation, and Multiplex Assays , Brianna D. Hitt
Community Impact on the Home Advantage within NCAA Men's Basketball , Erin O'Donnell
Optimal Design for a Causal Structure , Zaher Kmail
Role of Misclassification Estimates in Estimating Disease Prevalence and a Non-Linear Approach to Study Synchrony Using Heart Rate Variability in Chickens , Dola Pathak
A Characterization of a Value Added Model and a New Multi-Stage Model For Estimating Teacher Effects Within Small School Systems , Julie M. Garai
Methods to Account for Breed Composition in a Bayesian GWAS Method which Utilizes Haplotype Clusters , Danielle F. Wilson-Wells
Beta-Binomial Kriging: A New Approach to Modeling Spatially Correlated Proportions , Aimee Schwab
Simulations of a New Response-Adaptive Biased Coin Design , Aleksandra Stein
MODELING THE DYNAMIC PROCESSES OF CHALLENGE AND RECOVERY (STRESS AND STRAIN) OVER TIME , Fan Yang
A New Approach to Modeling Multivariate Time Series on Multiple Temporal Scales , Tucker Zeleny
A Reduced Bias Method of Estimating Variance Components in Generalized Linear Mixed Models , Elizabeth A. Claassen
NEW STATISTICAL METHODS FOR ANALYSIS OF HISTORICAL DATA FROM WILDLIFE POPULATIONS , Trevor Hefley
Informative Retesting for Hierarchical Group Testing , Michael S. Black
A Test for Detecting Changes in Closed Networks Based on the Number of Communications Between Nodes , Christopher S. Wichman
GROUP TESTING REGRESSION MODELS , Boan Zhang
A Comparison of Spatial Prediction Techniques Using Both Hard and Soft Data , Megan L. Liedtke Tesar
STUDYING THE HANDLING OF HEAT STRESSED CATTLE USING THE ADDITIVE BI-LOGISTIC MODEL TO FIT BODY TEMPERATURE , Fan Yang
Estimating Teacher Effects Using Value-Added Models , Jennifer L. Green
SEQUENCE COMPARISON AND STOCHASTIC MODEL BASED ON MULTI-ORDER MARKOV MODELS , Xiang Fang
DETECTING DIFFERENTIALLY EXPRESSED GENES WHILE CONTROLLING THE FALSE DISCOVERY RATE FOR MICROARRAY DATA , SHUO JIAO
Spatial Clustering Using the Likelihood Function , April Kerby
FULLY EXPONENTIAL LAPLACE APPROXIMATION EM ALGORITHM FOR NONLINEAR MIXED EFFECTS MODELS , Meijian Zhou
Advanced Search
Search Help
Home | About | FAQ | My Account | Accessibility Statement
Privacy Copyright
| Using the sir epidemic model to infer the SARS outbreak in Beijing, 2003 | M.S. | 05/2019 |
| Data mining to identify gene regulatory elements | M.S. | 05/2019 |
| A comparison between logistic regression and neural networks in a constructed response item study | M.S. | 05/2019 |
| The effect of CEO political ideology on executive succession following firm misconduct | M.S. | 05/2019 |
| Analyses of USA birth-date distribution | M.S. | 08/2019 |
| Sawtimber potential proportion dynamics for loblolly pine in the Southeastern U.S. | M.S. | 08/2019 |
| Scalable individual planning in open and typed agent systems | M.S. | 05/2019 |
| Three different approaches of missing data imputation for financial data | M.S. | 05/2019 |
| A statistical approach for calibrating hydrologic models | M.S. | 05/2018 |
| Prediction of peanut butter prices in the United States by tracking concept drift | M.S. | 05/2018 |
| An application of semiparametric model estimation under shape invariance to fmri data | M.S. | 08/2018 |
| Regularized aggregation of multiple graphs with application to FMRI data | M.S. | 12/2018 |
| Model comparison with squared sharpe ratios of mimicking portfolios | M.S. | 05/2018 |
| Efficient genotyping by sampling extreme individuals in a genome wide association study in plants | M.S. | 05/2018 |
| A statistical analysis of some aspects of well-being of South Korean elderly population | M.S. | 05/2018 |
| A statistical analysis of crime in San Luis Obispo (2009-2017) | M.S. | 05/2018 |
| An expected outcome framework for evaluating batting and pitching performance in major league baseball with applications to the "juiced ball" and the "fly ball revolution" | M.S. | 05/2018 |
| Modelling precipitation volumes using a weibull mixture and the gamma generalized linear model | M.S. | 12/2018 |
| Normal and average: lexical ambiguity in an introductory statistics course | M.S. | 12/2018 |
| The periodic solution and the global asymptotic stability for northeastern Puerto Rico ecosystem | M.S. | 08/2018 |
| An examination of the transfer of errors to species tree estimation caused by model selection in gene tree estimation | M.S. | 05/2017 |
| Assessment of the performance of the lasso algorithm compared to the k-nn algorithm with high-dimensional class imbalanced data | M.S. | 05/2017 |
| A comparison of pedagogical approaches in introductory statstics | M.S. | 05/2017 |
| A mixed effect model with feature extraction for functional magnetic resonance imaging (fMRI) data | M.S. | 05/2017 |
| Assessing UGA transportation and parking services data collection using RouteMatch Software? | M.S. | 05/2017 |
| Analyzing android ad-libraries | M.S. | 12/2017 |
| Generative spatiotemporal modeling of neutrophil behavior | M.S. | 12/2017 |
| An application of graphical models to fMRI data using the lasso penalty | M.S. | 05/2017 |
| Skew and bias: the efficacy of an intervention in an introductory statistics course | M.S. | 05/2017 |
| Bootstrap based measurement of serial correlation in time series objects | M.S. | 12/2017 |
| Copula modeling analysis on multi-dimensional portfolios with backtesting | M.S. | 08/2016 |
| Data analysis of the pattern information of the collective decision-making process in subterranean termites species | M.S. | 08/2016 |
| Modeling NFL quarterback success with college data | M.S. | 05/2016 |
| Comparison of data sampling methods on IRT parameter estimation | M.S. | 05/2016 |
| Estimating precipitation volume distributions using data from the spatially dense cocorahs network | M.S. | 08/2016 |
| Predictive biomarker reproducibility modeling with censored data | M.S. | 12/2016 |
| Parallel matrix factorization in big data analytics | M.S. | 08/2016 |
| Maximum monthly rainfall behavior along the front range of Colorado | M.S. | 12/2016 |
| A study on adaptive lasso and its weight selection | M.S. | 12/2016 |
| Predictors of secondary traumatic stress among clinical social workers: a focus on the impact of the supervisory relationship | M.S. | 05/2016 |
| Estimating nutrient uptake in streams with pulse release | M.S. | 12/2016 |
| Prediction of crime categories in San Francisco area | M.S. | 05/2016 |
| Perceived importance and objective measures of built environment walkability of a university campus | M.S. | 05/2016 |
| Mergers and network effects: understanding the recent increase in percentage of non-weather-caused flight delays in the United States | M.S. | 05/2015 |
| A rolling analysis on the prediction of Value at Risk with multivariate GARCH and copula | M.S. | 05/2015 |
| Analysis of climate-crop yield relationships in Canada with distance correlation | M.S. | 12/2015 |
| False negative control for multiple acceptance-support hypotheses testing problem | M.S. | 05/2015 |
| Big data analytic tools to detect fraud in healthcare data | M.S. | 12/2015 |
| Genetic algorithms developed in R software for finding optimal experimental designs | M.S. | 05/2015 |
| Bootstrap-based test for volatility shifts in GARCH against long-range dependence | M.S. | 05/2015 |
| A rule-engine-based application for over-the-counter medication safety | M.S. | 12/2014 |
| Household whole and low-fat milk consumption in Poland: a censored system approach | M.S. | 12/2014 |
| Calibrating test item banks for an introductory statistics course | M.S. | 05/2014 |
| A guide and solution manual to The elements of statistical learning | M.S. | 12/2014 |
| Programmatic assessment for an undergraduate statistics major | M.S. | 05/2014 |
| Global temperature trends | M.S. | 08/2014 |
| Penalized regression models for Major League Baseball metrics | M.S. | 05/2014 |
| Discriminant function analysis of Major League Baseball steroid use | M.S. | 05/2014 |
| Estimation of government employment using multivariate hierarchical Bayes modeling | M.S. | 05/2014 |
| Feasibility of small voxel sizes in canine brain 1H-magnetic resonance spectroscopy at 3T | M.S. | 08/2014 |
| Improving the robustness of turbulent fluxes: an examination of the role of waves on fluxes and turbulence statistics | M.S. | 08/2014 |
| Phylogenetic analysis of cancer microarray data | M.S. | 12/2014 |
| Students? misconceptions about introductory statistics topics: assessing STAT 2000 outcomes using CAOS | M.S. | 05/2013 |
| The use of bootstrapping to measure image differences in fMRI data | M.S. | 05/2013 |
| Performance of farm level vs area level crop insurance | M.S. | 08/2013 |
| Application of multivariate geospatial statistics to soil hydraulic properties | M.S. | 12/2013 |
| Characterizing the socioeconomics of metropolitan transportation network expansion by mining a nationwide road change database | M.S. | 05/2013 |
| The rise of the Big Data: why should statisticians embrace collaborations with computer scientists | M.S. | 12/2013 |
| Undergraduate students? attitudes toward statistics in an introductory statistics class | M.S. | 12/2013 |
| Comparison of methods of analysis for Pretest and Posttest data | M.S. | 08/2013 |
| Drought, biofuel, and livestock | M.S. | 12/2013 |
| A comparison of meta-analytic approaches on the consequences of role stressors | M.S. | 08/2013 |
| Improving validity and reliability in STAT 2000 assessments | M.S. | 05/2013 |
| Classification analysis in microarray data using biological pathway and gene family information | M.S. | 12/2013 |
| Predicting equity returns using Twitter sentiment | M.S. | 05/2013 |
| Monthly trends in maxima of low temperatures in Georgia, USA | M.S. | 05/2013 |
| HIV classification using DNA sequences | M.S. | 08/2013 |
| Double eQTL mapping method to improve identification of trans eQTLs and construct intermediate gene networks | M.S. | 05/2013 |
| CacheMeter | M.S. | 08/2013 |
| A study on expectiles: measuring risk in finance | M.S. | 12/2012 |
| Design of cost-fffective cancer biomarker reproducibility studies | M.S. | 08/2012 |
| Flux measurements in the stable boundary layer and during morning transition | M.S. | 12/2012 |
| Predicting outcomes of mixed martial arts fights with novel fight variables | M.S. | 08/2012 |
| Estimation in populations with rare events | M.S. | 05/2012 |
| A Bayesian hierarchical spatial model for West Nile Virus in New York City: evaluating an approach to handle large spatial data sets | M.S. | 12/2012 |
| The influence of measurement errors in tumor markers | M.S. | 12/2012 |
| Statistical interpretation of experiments with laying hens | M.S. | 05/2012 |
| Estimation of genomic copy frequency with correlated observations | M.S. | 05/2012 |
| The appearance of Michelle Obama: an analysis of the First Lady's exposure in magazines, from January 2008 to December 2009 | M.S. | 05/2012 |
| Case studies of clear-air turbulence: evaluation and verification of new forecasting techniques | M.S. | 08/2012 |
| Assessment of nonparametric frontier models applied to socially responsible investment | M.S. | 08/2011 |
| Nonparametric GARCH models for financial volatility | M.S. | 08/2011 |
| Investigating some estimators of the fractional degree of differencing, in long memory time series | M.S. | 05/2011 |
| A bootstrap method for fitting a linear regression model to interval-valued data | M.S. | 05/2011 |
| Variable selection in longitudinal data with application to education | M.S. | 08/2011 |
| Conservation genetics of the red-cockaded woodpecker | M.S. | 05/2010 |
| Using regression based methods for time-constrained scaling of parallel processor computing applications | M.S. | 05/2010 |
| Statistical study of the decay lifetimes of the photo-excited DNA nucleobase Adenine | M.S. | 12/2010 |
| The interpretation of experiments with poultry | M.S. | 12/2010 |
| Statistical identification of the quinic acid responsive genes in Neurospora crassa | M.S. | 12/2010 |
| A content analysis of advertiser influence on editorial content in fashion magazines | M.S. | 05/2010 |
| Derivation of the complete transcriptome of Escherichia coli from microarray data | M.S. | 12/2009 |
| The coordination of design and analysis techniques for functional magnetic resonance imaging data | M.S. | 05/2009 |
| A review of ruin probability models | M.S. | 12/2009 |
| The exploration of statistical ensemble methods for market segmentation | M.S. | 05/2009 |
| Misidentification error in non-invasive genetic mark-recapture sampling: case study with the central Georgia black bear population | M.S. | 05/2009 |
| A time series analysis of mortality and air pollution in Hong Kong from 1997 to 2007 | M.S. | 05/2009 |
| Penalized principal component regression | M.S. | 05/2008 |
| Statistical methods for turtle bycatch data | M.S. | 12/2008 |
| Sexual dysfunction in young women with breast cancer | M.S. | 12/2008 |
| Investigation of statistical methods for determination of benchmark dose limits for retinoic acid-induced fetal forelimb malformation in mice | M.S. | 12/2008 |
| Competing risk models for turtle nest survival in the Bolivian Amazon | M.S. | 05/2008 |
| Exploring bidder characteristics in online auctions: an application of a bilinear mixed model to study overbidders | M.S. | 08/2007 |
| Baseball prediction using ensemble learning | M.S. | 05/2007 |
| Adoption and use of Internet among American organic farmers | M.S. | 12/2007 |
| Population structure of loggerhead sea turtles (Caretta caretta) nesting in the southeastern United States inferred from mitochondrial DNA sequences and microsatellite loci | M.S. | 05/2007 |
| Small-sample prediction of estimated loss potentials | M.S. | 12/2007 |
| Applications for NIR spectroscopy in eucalyptus genetics improvement programs and pulp mill operations | M.S. | 12/2007 |
| Lq penalized regression | M.S. | 05/2007 |
| Estimating the demand for and value of recreation access to national forest wilderness: a comparison of travel cost and onsite cost day models | M.S. | 05/2007 |
| Implementing SELC (sequential elimination of level combinations) for practitioners: new statistical softwares | M.S. | 12/2006 |
| GIS-based habitat modeling related to bearded Capuchin monkey tool use | M.S. | 08/2006 |
| Historic airboat use and change assessment using remote sensing and geographic information system techniques in Everglades National Park | M.S. | 08/2006 |
| An evaluation of airbags | M.S. | 05/2005 |
| Mixed effects models for a directional response: a case study with loblolly pine microfibril angle | M.S. | 08/2005 |
| Cross-nation examination of CCI and CPI with an emphasis on Korea | M.S. | 05/2005 |
| A new nonparametric bivariate survival function estimator under random right censoring | M.S. | 05/2005 |
| Forecasting crop water demand: structural and time series analysis | M.S. | 08/2004 |
| Extreme value methods in body-burden analysis: with application to inference from long-term data sets | M.S. | 05/2004 |
| Development of a screening method for determination of aflatoxins | M.S. | 12/2004 |
| Regression models in standardized test prediction | M.S. | 08/2004 |
| Comparison between frequentist and Bayesian implementation of mixed linear model for analysis of microarray data | M.S. | 05/2004 |
| Temporal autocorrelation in modeling soil potentially mineralizable nitrogen | M.S. | 05/2004 |
| Using extreme value models for analyzing river flow | M.S. | 08/2004 |
| Investigation of multiple imputation procedures in the presence of missing quantitative and categorical variables | M.S. | 08/2004 |
| Monitoring expense report errors: control charts under independence and dependence | M.S. | 05/2004 |
| Time series analysis of volatility in financial markets in Hong Kong from 1991 to 2004 | M.S. | 12/2004 |
| Predictive modeling of professional figure skating tournament data | M.S. | 08/2003 |
| Statistical dimension reduction methods for appearance-based face recognition | M.S. | 05/2003 |
| Statistical analysis of 16s rdna gene-based intestinal bacteria in chickens | M.S. | 12/2003 |
| Reconstruction of early 19th century vegetation to assess landscape change in southwestern Georgia | M.S. | 12/2003 |
| Statistical model for estimating the probability of using electronic cards : a statistical analysis of SCF data | M.S. | 08/2003 |
| A survey of Hill's estimator | M.S. | 08/2003 |
| Statistical analysis of mass spectrometry-assisted protein identification methods | M.S. | 12/2003 |
| Intra-individual variation in serum vitamin A measures among participants in the Third National Health and Nutrition Examination Survey, 1988-1994 | M.S. | 05/2002 |
| Application and comparison of time series models to AIDS data | M.S. | 05/2002 |
| Are wealthier elderly healthier? : a statistical analysis of AHEAD data | M.S. | 08/2002 |
| Statistical modeling and analysis of the polymerase chain reaction | M.S. | 05/2002 |
| Statistical model for the diffusion of innovation and its applications | M.S. | 12/2002 |
| Spatial pattern analysis and modeling of Heterotheca subaxillaris and Lespedeza cuneata in a South Carolina old-field | M.S. | 08/2002 |
| Prediction of residential mortgage contract rates | M.S. | 05/2002 |
| Palmist: a tool to log Palm system activity | M.S. | 12/2001 |
| The grilseification of Atlantic salmon in Iceland | M.S. | 08/2001 |
| Stochastic volatility models: a maximum likelihood approach | M.S. | 08/2000 |
We appreciate your financial support. Your gift is important to us and helps support critical opportunities for students and faculty alike, including lectures, travel support, and any number of educational events that augment the classroom experience. Click here to learn more about giving.
Every dollar given has a direct impact upon our students and faculty.
Current/past master's theses.
Document is being generated. Please wait.
In progress..
© Universität Zürich | Jun 26, 2024
Dissertations catalog.
Models and Inference for Microbiome Data | Tang, Yunfan | 2018 | 1 |
Geometric Methods in Statistics and Optimization | Wong, Sze Wai | 2018 | 1 |
Some Metric Properties of Planar Gaussian Free Field | Goswami, Subhajit | 2017 | 1 |
Multiple Testing with Prior Structural Information | Li, Ang | 2017 | 1 |
Two Problems in Percolation Theory | Li, Li | 2017 | 1 |
High-Dimensional First Passage Percolation and Occupational Densities of Branching Random Walks | Tang, Si | 2017 | 1 |
Applications of Adaptive Shrinkage in Multiple Statistical Problems | Wang, Wei | 2017 | 1 |
On the Optimal Estimation, Control, and Modeling of Dynamical Systems | Xu, Wanting | 2017 | 1 |
Estimation and Inference for High-Dimensional Times Series | Zhang, Danna | 2017 | 1 |
A Bayesian Large-Scale Multiple Regression Model for Genome-Wide Association Summary Statistics | Zhu, Xiang | 2017 | 1 |
High-Dimensional Generative Models: Shrinkage, Composition, and Autoregression | Goessling, Marc | 2016 | 1 |
High-Dimensional Graph Esimation and Density Estimation | Liu, Zhe | 2016 | 1 |
Statistical Methods for Climactic Processes with Temporal Non-Stationarity | Poppick, Andrew | 2016 | 1 |
Estimating the Integrated Parameter of the Locally Parametric Model in High Frequency Data | Potiron, Yoann | 2016 | 1 |
Extreme Values of Log-Correlated Gaussian Fields | Roy, Rishideep | 2016 | 1 |
Poisson Multiscale Methods for High-Throughput Sequencing Data | Xing, Zhengrong | 2016 | 1 |
Two Problems in High-Dimensional Inference: L2 Test by Resampling and Graph Estimation of Non-Stationary Time Series | Xu, Mengyu | 2016 | 1 |
Constrained and Localized Forms of Statistical Minimax Theory | Zhu, Yuancheng | 2016 | 1 |
Statistical Methods in Joint Modeling of Longitudinal and Survival Data | Dempsey, Walter | 2015 | 1 |
Residual Likelihood Analysis for Spatial Mixed Linear Models | Dutta, Somak | 2015 | 1 |
Two Projects in Gaussian Random Space-Time Statistics | Horrell, Michael | 2015 | 2 |
Exponential Series Approaches for Nonparametric Graphical Models | Janofsky, Eric | 2015 | 1 |
Three Essays on Statistical Models for Computer Vision | Ng, Lian Huan | 2015 | 1 |
Contact Processes on Random Graphs | Su, Wei | 2015 | 1 |
Three Essays in Mathematical Finance | Wang, Ruming | 2015 | 1 |
Interpretation and Inference of Linear Structural Equation Models | Fox, Christopher | 2014 | 1 |
Statistical Methods for Genetic Association Analysis in Samples with Related Individuals and Population Structure | Jiang, Duo | 2014 | 1 |
Mixed-Model Methods for Genome-Wide Association Analysis with Binary Traits | Zhong, Sheng | 2014 | 1 |
Statistical Methods for Climate Ensembles | Castruccio, Stefano | 2013 | 1 |
Inferring Effective Migration from Geographically Indexed Genetic Data | Petkova, Desislava | 2013 | 1 |
Functional Data Methods for Genome-Wide Association Studies | Reimherr, Matthew | 2013 | 1 |
Large Scale Multiple Testing for Data with Spatial Signals | Zhong, Yunda | 2013 | 1 |
Prediction and Model Selection for High-Dimensional Data with Sparse or Low-Rank Structure | Barber, Rina Foygel | 2012 | 1 |
Random Walk Metropolis Chains on the Hypercube | Barta, Winfried | 2012 | 1 |
Estimation of Covariance Matrix for High-Dimensional Data and High-Frequency Data | Chang, Changgee | 2012 | 1 |
Wavelet Analysis in Spatial Interpolation of High-Frequency Monitoring Data | Chang, Xiaohui | 2012 | 1 |
Infinitely Exchangeable Partition, Tree and Graph-Valued Stochastic Processes | Crane, Harry | 2012 | 1 |
Non-Stationary Models for Spatial-Temporal Processes | Guinness, Joseph | 2012 | 1 |
From Bayes Calculation to Efficient Integration of Studies: Three Statistical Problems | Han, Han | 2012 | 1 |
Kriging Prediction with Estimated Covariances | Kwon, Darongsae | 2012 | 1 |
Local Properties of Irregularly Observed Gaussian Fields | Lee, Myoungji | 2012 | 1 |
Estimation of Leverage Effect | Wang, Dan | 2012 | 1 |
Nonparametric Inference on Nonstationary Time Series | Zhang, Ting | 2012 | 1 |
Modeling Axially Symmetric Gaussian Processes on Spheres | Hitczenko, Marcin | 2011 | 1 |
An Exponential Tilt Approach to Generalized Linear Models | Huang, Alan | 2011 | 1 |
Online Inference for Time Series and Series Estimation Under Dependence | Huang, Yinxiao | 2011 | 1 |
Bayesian Analysis of Genetic Association Data, Account for Heterogeneity | Wen, Xiaoquan | 2011 | 1 |
Simultaneous Inference on Sample Covariances | Xiao, Han | 2011 | 1 |
Robust Network Inference with Multivariate T-Distributions | Finegold, Michael A. | 2010 | 1 |
Capacity Analysis of Attractor Neural Networks with Binary Neurons and Discrete Synapses | Huang, Yibi | 2010 | 1 |
Displaced Lognormal and Displaced Heston Volatility Skews: Analysis and Applications to Stochastic Volatility Simulations | Wang, Dan | 2010 | 1 |
Wavelet Analysis for Non-stationary Time Series Models | Wang, Wenlong | 2010 | 1 |
Locally Mean Reverting Processes | Lynch, Phillip | 2009 | 1 |
Statistical Methods for Genetic Association Mapping of Complex Traits with Related Individuals | Wang, Zuoheng | 2009 | 1 |
OneClass Boosting and Its Application to Classification Problems | Xu, Qingqing | 2009 | 1 |
Non-stationary Time Series Analysis, a Nonlinear Systems Approach | Zhou, Zhou | 2009 | 1 |
Generalized Parametric Models | Atlason, Oli Thor | 2008 | 1 |
Geometric Approaches in the Analysis of Genetic Data | De la Cruz Cabrera, Omar | 2008 | 1 |
Statistical Methods for Genetic Association Mapping and a Related Likelihood Approach | Ke, Baoguan | 2008 | 1 |
Adaptive Evolution of Conserved Non-Coding Elements | Kim, Su Yeon | 2008 | 1 |
Robustness of Volatility Estimation | Li, Yingying | 2008 | 2 |
Statistical Inference for Multivariate Nonlinear Time Series | Matteson, David Scott | 2008 | 1 |
Trade Classification and Nearly-Gamma Random Variables | Rosenthal, Dale W.R. | 2008 | 1 |
Restricted Parameter Space Models for Testing Gene-Gene Interaction | Song, Minsun | 2008 | 1 |
Critical Branching Random Walks and Spatial Epidemics | Zheng, Xinghua | 2008 | 1 |
Methods for Confounding Adjustment in Time Series Data: Applications to Short Term Effects of Air Pollution on Respiratory Health | Zibman, Chava | 2008 | 1 |
Point Process Models for Astronomy: Quasars, Coronal Mass Ejections, and Solar Flares | Hugeback, Angela Beth | 2007 | 1 |
Characteristics of Model Errors in an Air Quality Model and Fixed-Domain Asymptotics Properties of Spatial Cross-Periodograms | Lim, Chae Young | 2007 | 1 |
Nonparametric Inference for Stochastic Diffusion Models | Zhao, Zhibiao | 2007 | 1 |
Statistical Models for Object Classification and Detection | Bernstein, Elliot Joel | 2006 | 1 |
Likelihood Methods for Potential Outcomes | Jager, Abigail L. | 2006 | 1 |
Estimating Error Rates for Independent and Dependent Test Statistics | Ostrovnaya, Irina A. | 2006 | 1 |
Statistical Evaluation of Multiresolution Model Output and Spectral Analysis for Nonlinear Time Series | Shao, Xiaofeng | 2006 | 1 |
Infinite Exchangeability and Partitions and Permanent Process and Classification Models | Yang, Jie | 2006 | 1 |
Estimating Deformations of Isotropic Gaussian Random Fields | Anderes, Ethan | 2005 | 1 |
Two Problems in Environmetrics | Im, Hae Kyung | 2005 | 1 |
Space-Time Models and Their Applications to Air Pollution | Jun, Mikyoung | 2005 | 1 |
Statistical Inference for Genetic Analysis in Related Individuals | Thornton, Timothy Alvin | 2005 | 1 |
Two Statistical Problems in Gene Mapping | Zheng, Maoxia | 2005 | 1 |
Statistical and Computational Methods for Complex Multicenter Data Analysis | Bouman, Peter | 2004 | 1 |
Nature of Spatial Variation in Crop Yields, The | Clifford, David Jeremiah | 2004 | 1 |
Inference on Time Series Driven by Dependent Innovations | Min, Wanli | 2004 | 1 |
Modeling the Stock Price Process as a Continuous Time Jump Process | Sen, Rituparna | 2004 | 1 |
Statistical Inference for Multi-Color Optical Mapping Data | Tong, Liping | 2004 | 1 |
Epidemic Modelling: SIRS Models | Dolgoarshinnykh, Regina G. | 2003 | 1 |
Problem Of Coexistence in Multi-Type Competition Models, The | Kordzakhia, George | 2003 | 1 |
On Two Topics with No Bridge: Bridge Sampling with Dependent Draws and Bias of the Multiple Imputation Variance Estimator | Romero, Martin | 2003 | 1 |
Sequential Clustering Algorithm with Applications to Gene Expression Data, A | Song, Jongwoo | 2003 | 1 |
Likelihood Approach for Monte Carlo Integration, A | Tan, Zhiqiang | 2003 | 1 |
Spatial Statistics for Modeling Phytoplankton | Welty, Leah Jeannine | 2003 | 1 |
Bridge Sampling with Dependent Random Draws: Techniques and Strategy | Servidea, James Dominic | 2002 | 1 |
Nonlinear Measurement Error Models with Multivariate and Differently Scaled Surrogates | Velazquez, Ricardo | 2002 | 1 |
Optimal Sampling Design and Parameter Estimation of Gaussian Random Fields | Zhu, Zhengyuan | 2002 | 1 |
Multivalent Framework for Approximate and Exact Sampling and Resampling | Craiu, Virgil Radu | 2001 | 1 |
Instrumental Variables in Survival Analysis | Harvey, Danielle J. | 2001 | 1 |
Estimating the Large-Scale Structure of the Universe Using QSO Carbon IV Absorbers | Loh, Ji Meng | 2001 | 1 |
Options and Discontinuity: An Asymptotic Decomposition for Trading Algorithms | Song, Seongjoo | 2001 | 1 |
Statistical Problem in Human Genetics: Multipoint Fine-Scale Linkage Disequilibrium Mapping by the Decay of Haplotype Sharing | Strahs, Andrew Louis | 2001 | 1 |
Two Statistical Problems in Human Genetics: I. Detection of Pedigree Errors Prior to Genetic Mapping Studies. II. Identification of Polymorphisms that Explain a Linkage Result | Sun, Lei | 2001 | 1 |
Linkage Disequilibrium Mapping by the Decay of Haplotype Sharing in a Founder Population | Zhang, Jian | 2001 | 1 |
From Martingales to ANOVA: Implied and Realized Volatility | Zhang, Lan | 2001 | 1 |
Hedging of Contingent Claims Under Model Uncertainty: A Data-Driven Approach | Hayashi, Takaki | 2000 | 1 |
Categorical Imperative: Extendibility Considerations for Statistical Models, The | Wit, Ernst-Jan Camiel | 2000 | 1 |
Modeling Latitudinal Correlations for Satellite Data | Choi, Dongseok | 1999 | 1 |
Allele Sharing Models in Gene Mapping: A Likelihood Approach | Nicolae, Dan Liviu | 1999 | 1 |
Prediction of Random Fields and Modeling of Spatial-Temporal Satellite Data | Fuentes, Montserrat | 1998 | 1 |
Two-Dimensional Hidden Markov Models for Speech Recognition | Li, Jiayu | 1998 | 1 |
Confidence Intervals for Gene Location: The Effect of Model Misspecification and Smoothing | Sen, Saunak | 1998 | 2 |
At the Confluence of the EM Algorithm and Markov Chain Monte Carlo: Theory and Applications | Vaida, Florin Alexandru | 1998 | 1 |
Statistical Model for Computer Recognition of Sequences of Handwritten Digits, with Applications to ZIP Codes, A | Wang, Steve C. | 1998 | 1 |
Statistical Inference Using Estimating Functions | Chen, Chih-Rung | 1997 | 1 |
Estimating Treatment Effects in Observational Studies: Properties of an Estimator Based on Propensity Scores | Clements, Nancy C. | 1997 | 1 |
Options Pricing with Transaction Costs: An Asymptotic Approach | Liang, Jennifer Bo | 1997 | 1 |
Variance-Reducing Modifications for Estimators of Dependence in Random Sets | Picka, Jeffrey David | 1997 | 1 |
Statistical Inference in Population Genetics | Pluzhnikov, Anna | 1997 | 1 |
Simulating First-Passage Times and the Maximum of Stochastic Differential Equations: An Error Analysis | Simonsen, Kaare Krantz | 1997 | 1 |
Modeling the Correlation Structure of the TOMS Ozone Data and Lattice Sampling Design for Isotropic Random Fields | Fang, Dongping | 1996 | 1 |
Monte Carlo Methods in Linkage Analysis | Frigge, Michael L. | 1996 | 1 |
Averaged Likelihood | Hung, Hui-Nien | 1996 | 1 |
Some Inferential Aspects of Empirical Likelihood | Lazar, Nicole Alana | 1996 | 1 |
Deformable Templates and Image Compression | Ambrosius, Walter Thomas | 1995 | 1 |
Cross-Match Procedures for Multiple-Imputation Inference: Bayesian Theory and Frequentist Evaluation | Barnard, John | 1995 | 1 |
Inter-Event Distance Methods for the Statistical Analysis of Spatial Point Processes | Collins, Linda Brant | 1995 | 1 |
Adjustment for Covariates in the Analysis of Clinical Trials | Dong, Li Ming | 1995 | 1 |
Construction, Implementation, and Theory of Algorithms Based on Data Augmentation and Model Reduction | Van Dyk, David Anthony | 1995 | 1 |
Statistical Inference and Nuisance Parameters | Zhang, Qi-Yu | 1995 | 1 |
Asymptotic Expansions for Martingales and Improvement of the P-Value Estimate in the Two-Sample Problem in Survival Analysis | Chan, Siu-Kai | 1994 | 2 |
Discrimination and Classification Using Conditionally Independent Marginal Mixtures | Lazaridis, Emmanuel Nicholas | 1994 | 1 |
Fisher Information in Order Statistics | Park, Sangun | 1994 | 2 |
Some Results Connected with Random Effects in Logistic Models | Shun, Zhenming | 1994 | 1 |
Asymptotics and Robustness for Genetic Linkage Mapping | Wright, Fred Andrew | 1994 | 1 |
Estimation of the Nearest Neighbor Distribution for Spatial Point Processes | Flores-Roux, Ernesto M. | 1993 | 1 |
Method of Investigating High-Dimensional Densities, A | Levenson, Mark Steven | 1993 | 1 |
Using Interactive Recursive Partitioning to Improve Rule-Based Expert Systems | Meyer, Peter M. | 1993 | 1 |
Effect of Temporal Aggregation in Gamma Regression Models Used to Estimate Trends in Sulfate Deposition, The | Styer, Patricia Eileen | 1993 | 1 |
Estimation of Superimposed Exponentially Damped Sinusoids: A Weighted Linear Prediction Approach | Lam, Ming-Long | 1992 | 1 |
Some Topics in the Moment-Based Theory of Statistical Inference | Li, Bing | 1992 | 1 |
Asymptotic Theory for Linear Functions of Ordered Observations | Xiang, Xiaojing | 1992 | 1 |
Deconvolution and Jump Detection Using the Method of Local Approximation with Applications to Magnetic Resonance Imaging | Ye, Jianming | 1992 | 1 |
Collection and Analysis of Truncated Censored Data | Chappell, Rick | 1991 | 1 |
Estimation of Dispersion Components in the Logistic Mixed Model | Drum, Melinda Louise | 1991 | 1 |
Retrospective Detection of Sudden Changes of Variance in Time Series | Inclan, Carla H. | 1991 | 2 |
Correlation Structure and Convergence Rate of the Gibbs Sampler | Liu, Jun | 1991 | 1 |
Space-Time ARMA Models for Satellite Ozone Data | Niu, Xufeng | 1991 | 1 |
Convergence Rate of Maximum Likelihood Estimates, the Method of Sieves, and Related Estimates, The | Shen, Xiaotong | 1991 | 1 |
Choice of Covariates in the Analysis of Clinical Trials | Beach, Michael Lindsay | 1990 | 1 |
Inference for Spatial Gaussian Random Fields When the Objective Is Prediction | Handcock, Mark Stephen | 1989 | 1 |
On Statistical Image Reconstruction | Johnson, Valen Earl | 1989 | 1 |
Topics in Series Approximations to Distribution Functions | Kolassa, John Edward | 1989 | 1 |
Predictive Regression Estimators of the Finite Population Mean Using Functions of the Probability of Selection | Rizzo, Louis Philip | 1989 | 1 |
Specifying Inner Structure in Multiple Time Series Analysis | Norton, Phillip Nelson | 1988 | 1 |
Designing an Observational Study Using Estimated Propensity Scores | Thomas, Stacy Neal Jr. | 1988 | 1 |
Some Divergence Measures for Time Series Models and Their Applications | Xu, Daming | 1988 | 1 |
Efficient Estimation in Semiparametric Models | Severini, Thomas Alan | 1987 | 1 |
Laplacian and Uniform Expansions with Applications to Multidimensional Sampling | Skates, Steven James | 1987 | 0 |
Dual Geometries and Their Applications to Generalized Linear Models | Vos, Paul William | 1987 | 1 |
Analysis of a Set of Coarsely Grouped Data | Heitjan, Daniel Francis | 1985 | 1 |
Restricted Mean Life with Adjustment for Covariates | Karrison, Theodore G. | 1985 | 1 |
Hypothesis Testing in Multiple Imputation--With Emphasis on Mixed-Up Frequencies in Contingency Tables | Li, Kim-Hung | 1985 | 1 |
Multiple Imputation for Interval Estimation from Surveys with Ignorable Nonresponse | Schenker, Nathaniel | 1985 | 1 |
Bayes and Likelihood Methods for Prediction and Estimation in the Ar(1) Model | Lahiff, Maureen | 1984 | 1 |
Limit Theorems for Mixing Arrays | Shott, Susan | 1983 | 1 |
Use of the Correction for Attenuation Estimator with Judgmental Information | Schafer, Daniel William | 1982 | 1 |
Nonparametric Estimation of the Hazard Function from Censored Data | Tanner, Martin Abba | 1982 | 1 |
Missing Values in Factor Analysis | Brown, Charles Hendricks | 1981 | 1 |
Estimation of First Crossing Time Distributions for Some Generalized Brownian Motion Processes Relative to Upper Class Boundaries | Sen, Pradip Kumar | 1981 | 1 |
Convergence Rates Related to the Strong Law of Large Numbers | Fill, James Allen | 1980 | 1 |
Riemannian Structure of Model Spaces: A Geometrical Approach to Inference, The | Kass, Robert E. | 1980 | 1 |
Time Series Analysis of Binary Data | Keenan, Daniel Macrae | 1980 | 1 |
General Maximum Likelihood Approach to the Cox Regression Model, The | Bailey, Kent Roberts | 1979 | 1 |
Special Functions and the Characterization of Probability Distributions by Constant Regression of Polynomial Statistics on the Mean | Heller, Barbara Ruth | 1979 | 1 |
Analysis of Survival Data with Covariates and Censoring Using a Piecewise Exponential Model | Friedman, Michael | 1978 | 1 |
Complete Class Theorems for Invariant Tests in Multivariate Analysis | Marden, John Iglehart | 1978 | 1 |
Estimation of Linear Relationships Between Variables Subject to Random Errors | De Wet, Andries Gerhardus | 1977 | 2 |
Improved Procedures for Estimating Correlation Matrix | Lin, Shang-Ping | 1977 | 1 |
Maximum Likelihood Estimation for Exponential Families with Nonlinear Constraints on the Natural Parameter Space | Lin, Lung-Ying | 1976 | 1 |
Transformations of Multivariate Data and Tests for Multivariate Normality | Machado, Stella Barbara Green | 1976 | 2 |
Logistic Model for Quantal Response Data and a General Bias-Correcting Technique | Verjee, Suleman Sultanally | 1975 | 1 |
Statistical Considerations in Estimating the Current Population of the United States | Fay, III, Robert E. | 1974 | 1 |
Multivariate Rank Statistics for Shift Alternatives | Koziol, James Alexander | 1974 | 1 |
Functional Analogues of Iterated Logarithm Type Laws for Empirical Distribution Functions Whose Arguments Tend to 0 at an Intermediate Rate | Mcbride, Jim | 1974 | 1 |
Mixed-up Frequencies and Missing Data in Contingency Tables | Chen, Tar | 1972 | 1 |
Nonparametric Quantal Response Estimation Procedures | Davis, Henry T. | 1972 | 1 |
Comparison of Classification and Hypothesis Testing Procedures for Separate Families of Hypotheses | Dyer, Alan Richard | 1972 | 1 |
Probabilities of Medium and Large Deviations with Statistical Applications | Gupta, Jagdish Chandra | 1972 | 1 |
Maximum Likelihood Approaches to Causal Flow Analysis | Keesling, James Wood | 1972 | 1 |
Approximate Confidence Regions from Cluster Analysis | Landwehr, James Marlin | 1972 | 2 |
Some Statistical Methods for the Study of Quantitative Genetic Traits | Wiorkowski, John James | 1972 | 1 |
Counted Data Models for Some Small Group Problems | Larntz, Jr., Francis Kinley | 1971 | 1 |
On Some Estimators of the Parameters of the Pareto Distribution | Sharma, Divakar | 1971 | 1 |
Extremal Processes | Weissman, Ishay | 1971 | 1 |
General Log-Linear Model, The | Haberman, Shelby, Ph.D. | 1970 | 1 |
Estimation and Prediction from Projected Data | Miller, Don H. | 1970 | 1 |
On Yates's Approximation for the Missing Value Problem in Model I Analysis of Variance | Marshall, Jack | 1969 | 1 |
Estimating Population Size in the Particle Scanning Context | Sanathanan, Lalitha Padman, Ph.D. | 1969 | 1 |
General Skorohod Space and Its Application to thee Weak Convergence of Stochastic Processes with Several Parameters | Straf, Miron Lowel | 1969 | 1 |
Tests and Confidence Intervals from Transformed Data | Land, Charles Even | 1968 | 1 |
Accuracy of Seven Approximations for the Null Distribution of the Chi-Square Goodness of Fit Statistic | Yarnold, James K. | 1968 | 1 |
Berry-Esseen Bounds for the Multi-Dimensional Central Limit Theorem | Bhattacharya, Rabindra N. | 1967 | 1 |
Some Multi-dimensional Incomplete Block Designs | Causey, Beverly Douglas | 1967 | 1 |
Some Applications of Probability in the Theory of Orthogonal Functions | Gundy, Richard Floyd | 1966 | 1 |
Winsorizing with a Covariate to Improve Efficiency | Snyder, Mitchell | 1966 | 1 |
On the Stochastic Comparison of Tests of Hypotheses | Abrahamson, Innis Gillian | 1965 | 1 |
Allocation of Effort in the Design of Selection Procedures | Scott, Alastair John | 1965 | 1 |
Sufficient Conditions for the Weak Convergence of Conditional Probability Distributions in a Metric Space | Trumbo, Bruce Edward | 1965 | 1 |
Procedure for Selecting Independent Variables in Multiple Regression, A | Carlborg, Frank William | 1964 | 1 |
Improving the Robustness of Inferences | Park, Heebok | 1964 | 1 |
Block Up-and-Down Method in Bio-assay | Tsutakawa, Robert K. | 1963 | 1 |
On Stochastic Approximation Methods | Venter, Johannes Hendrik | 1963 | 1 |
Random Censorship | Gilbert, John P. | 1962 | 1 |
On the Comparison of the Means of Two Normal Populations with Unknown Variances | Tao, Ying | 1962 | 1 |
Incomplete Factorial Designs: Orthogonality, Non-orthogonality, and Construction of Designs Using Linear Programming | Webb, Stephen R. | 1962 | 1 |
Sample Mean Among the Order Statistics, The | David, Herbert T. | 1960 | 1 |
Multivariate k-Population Classification Problem | Ellison, Bob E. | 1960 | 1 |
Unbiased Sequential Estimation of a Probability | De Groot, Morris H. | 1958 | 1 |
Identification and Estimation in Latent Class Analysis | Madansky, Albert | 1958 | 1 |
Team Decision Functions | Radner, Roy | 1956 | 1 |
Graduate theses.
Below is a list of the theses produced by graduate students in the Department of Statistics and Actuarial Science.
2023-3 | Payman Nickchi | Ph.D | Linkage fine-mapping on sequences from case-control studies and Goodness-of-fit tests based on empirical distribution function for general likelihood model | R. Lockhart & J. Graham | |
2023-3 | Gurashish Bagga | MSc | Offensive and defensive penalties on score differentials and drive outcomes in the NFL | J. Hu | |
2023-3 | Rina Wang | MSc | The Application of Categorical Embedding and Spatial-Constraint Clustering Methods in Nested GLM Model | J. Cao | |
2023-3 | David (Liwei) Lai | MSc | An Exploration of a Testing Procedure for the Aviation Industry | T. Swartz & G. Parker | |
2023-3 | Teng-Wei Lin | MSc | Forecasting the trajectories of Southern Resident Killer Whales with stochastic continuous-time movement models | R. Joy & R. Routledge | |
2023-3 | Nirodha Epasinghege Dona | PhD | Big Data Applications in Genetics and Sports | J. Graham & T. Swartz | |
2023-3 | Kim Kroetch | MSc | D. Estep | ||
2023-3 | Summer Shan | MSc | C. Tsai | ||
2023-3 | William Ruth | PhD | R. Lockhart | ||
2023-2 | Boyi Hu | PhD | J. Cao | ||
2023-2 | Trevor Thomson | PhD | J. Hu | ||
2023-2 | Daisy (Ying) Yu | PhD | B. McNeney | ||
2023-2 | Pulindu Ratnasekera | PhD | B. McNeney | ||
2023-2 | Yuqi Meng | MSc | T. Loughin | ||
2023-2 | Linwan Xu | MSc | J. Hu | ||
2023-2 | Manpreet Kaur | MSc | B. Tang | ||
2023-2 | Guanzhou Chen | PhD | B. Tang | ||
2023-2 | Kalpani Darsha Perera | MSc | B. Tang | ||
2023-2 | Junpu Xie | MSc | D. Estep | ||
2023-2 | Haixu Wang | PhD | J. Cao | ||
2023-2 | Jesse Schneider | MSc | D. Stenning | ||
2023-1 | Tianyu Yang | MSc | J. Graham | ||
2023-1 | Hashan Peiris | MSc | H. Jeong | ||
2023-1 | Yaning Zhang | MSc | Y. Lu | ||
2022-3 | Elijah Cavan | MSc | T. Swartz & J. Cao | ||
2022-3 | Carla Louw | MSc | R. Lockhart | ||
2022-3 | Wenyuan Zhou | MSc | J. Bégin & B. Sanders | ||
2022-3 | Ryker Moreau | MSc | H. Perera & T. Swartz | ||
2022-3 | Lucas (Yifan) Wu | PhD | T. Swartz | ||
2022-3 | Shaun McDonald | PhD | D. Campbell | ||
2022-2 | Luyao Lin | PhD | D. Bingham | ||
2022-2 | Youwei Yan | MSc | D. Stenning | ||
2022-2 | Lei Chen | MSc | Y. Lu | ||
2022-2 | Jacob (Xuankang) Zhu | MSc | D. Estep | ||
2022-2 | Hasan Nathani | MSc | C. Tsai | ||
2022-2 | Mandy Yao | MSc | D. Estep | ||
2022-1 | Zayed Shahjahan | MSc | J. Graham | ||
2022-1 | Menqi (Molly) Cen | MSc | J. Hu | ||
2022-1 | Wen Tian (Wendy) Wang | MSc | B. Tang | ||
2022-1 | Yazdi Faezeh | PhD | D. Bingham | ||
2022-1 | Winfield Chen | MSc | L. Elliott | ||
2021-3 | Kangyi (Ken) Peng | MSc | T. Swartz & G. Parker | ||
2021-3 | Xueyi (Wendy) Xu | MSc | B. Sanders | ||
2021-3 | Christina Nieuwoudt | PhD | J. Graham | ||
2021-2 | Yige (Vivian) Jin | MSc | J.F. Bégin | ||
2021-2 | Peter Tea | MSc | T. Swartz | ||
2021-2 | Louis Arsenault-Mahjoubi | MSc | J.F. Bégin | ||
2021-2 | Cheng-Yu Sun | PhD | B. Tang | ||
2021-2 | Xuefei (Gloria) Yang | MSc | B. McNeney | ||
2021-2 | Charith Karunarathna | PhD | J. Graham | ||
2021-1 | Lisa McQuarrie | MSc | R.Altman | ||
2021-1 | Yunwei Tu | MSc | R.Lockhart | ||
2021-1 | Nikola Surjanovic | MSc | T. Loughin | ||
2020-3 | Renny Doig | MSc | L.Wang | ||
2020-3 | Dylan Maciel | MSc | D.Bingham | ||
2020-3 | Cherie Ng | MSc | J.F. Bégin | ||
2020-3 | James Thomson | MSc | G.Perera | ||
2020-2 | Gabriel Phelan | MSc | | D. Campbell | |
2020-2 | Jacob Mortensen | PhD | L. Bornn | ||
2020-2 | Yi Xiong | PhD | J. Hu | ||
2020-2 | Shufei Ge | PhD | L. Wang | ||
2020-2 | Fei Mo | MSc | J.F. Bégin | ||
2020-2 | Tainyu Guan | PhD | J. Cao | ||
2020-2 | Haiyang (Jason) Jiang | MSc | T. Loughin | ||
2020-2 | Nathan Sandholtz | PhD | L. Bornn | ||
2020-2 | Zhiyang (Gee) Zhou | PhD | R. Lockhart | ||
2020-2 | Matthew Reyers | MSc | T. Swartz | ||
2020-2 | Jie (John) Wang | MSc | L. Wang | ||
2020-1 | Matt Berkowitz | MSc | R. Altman | ||
2020-1 | Megan Kurz | MSc | J. Hu | ||
2020-1 | Siyuan Chen | MSc | B. McNeney | ||
2020-1 | Sihan (Echo) Cheng | MSc | C. Tsai | ||
2020-1 | Barinder Thind | MSc | J. Cao | ||
2020-1 | Neil Faught | MSc | S. Thompson | ||
2020-1 | Kanav Gupta | MSc | J.F. Bégin | ||
2020-1 | Dani Chu | MSc | T. Swartz |
2015 - 2019 2010 - 2014 2005 - 2009 2000 - 2004 1990's 1980's and prior
Search code, repositories, users, issues, pull requests..., provide feedback.
We read every piece of feedback, and take your input very seriously.
Use saved searches to filter your results more quickly.
To see all available qualifiers, see our documentation .
Replication repository for my master's thesis
Folders and files.
Name | Name | |||
---|---|---|---|---|
2 Commits | ||||
Masterthesis_2024, title: the green party and local climate action - an instrumental variable analysis of german municipalities, date: 01.07.2024.
#######################
Data: to run the scripts, data can be provided upon request, mail: [email protected].
getstacked.pro
Statistics homework assignment help. If you need help with R programming homework, reach out. Økonometri Reddit. I also help with Jamovi assignments, STATA homework, SPSS labs and Excel homework. Do My Homework Reddit. New hwforcash subreddit Pay reddit to do your homework for cash. Paid homework help for cash reddit. STATA analysis. SPSS analysis. r/hwforcash sub. Do My Homework Reddit. Pay Reddit to do Homework. Paid homework help Reddit. Best Homework Marketplace.
Hire me as a consultant to work on the data analysis (statistical analysis) portion of your dissertation or thesis.
Text me on my Discord CWCO#8243 & Click here to view Completed Projects I'm great with STATA, SPSS, R (I love the R Studio IDE btw), Jamovi, EViews & Minitab. If you prefer email, shoot a quick DM.
IMAGES
VIDEO
COMMENTS
Theses/Dissertations from 2016 PDF. A Statistical Analysis of Hurricanes in the Atlantic Basin and Sinkholes in Florida, Joy Marie D'andrea. PDF. Statistical Analysis of a Risk Factor in Finance and Environmental Models for Belize, Sherlene Enriquez-Savery. PDF
Table of contents. Step 1: Write your hypotheses and plan your research design. Step 2: Collect data from a sample. Step 3: Summarize your data with descriptive statistics. Step 4: Test hypotheses or make estimates with inferential statistics.
The results chapter (also referred to as the findings or analysis chapter) is one of the most important chapters of your dissertation or thesis because it shows the reader what you've found in terms of the quantitative data you've collected. It presents the data using a clear text narrative, supported by tables, graphs and charts.
Senior theses in Statistics cover a wide range of topics, across the spectrum from applied to theoretical. Typically, senior theses are expected to have one of the following three flavors: 1. Novel statistical theory or methodology, supported by extensive mathematical and/or simulation results, along with a clear account of how the research ...
A master's thesis is an independent scientific work and is meant to prepare students for future professional or academic work. Largely, the thesis is expected to be similar to papers published in statistical journals. It is not set in stone exactly how the thesis should be organized. The following outline should however be followed. Title Page
Usually there is no good way to write a statistic. It rarely sounds good, and often interrupts the structure or flow of your writing. Oftentimes the best way to write descriptive statistics is to be direct. If you are citing several statistics about the same topic, it may be best to include them all in the same paragraph or section.
Guidelines and Explanations. In light of the changes in psychology, faculty members who teach statistics/methods have reviewed the literature and generated this guide for graduate students. The guide is intended to enhance the quality of student theses by facilitating their engagement in open and transparent research practices and by helping ...
Master's Thesis. As an integral component of the Master of Science in Statistical Science program, you can submit and defend a Master's Thesis. Your Master's Committee administers this oral examination. If you choose to defend a thesis, it is advisable to commence your research early, ideally during your second semester or the summer following ...
Thesis Life: 7 ways to tackle statistics in your thesis. Thesis is an integral part of your Masters' study in Wageningen University and Research. It is the most exciting, independent and technical part of the study. More often than not, most departments in WU expect students to complete a short term independent project or a part of big on ...
If you are an undergraduate honors student interested in submitting your thesis to DukeSpace, Duke University's online repository for publications and other archival materials in digital format, please contact Joan Durso to get this process started. DukeSpace Electronic Theses and Dissertations (ETD) Submission Tutorial.
The following is a list of recent statistics and biostatistics PhD Dissertations and Masters Theses. Jeffrey Gory (2017) PhD Dissertation (Statistics): Marginally Interpretable Generalized Linear Mixed Models Advisors: Peter Craigmile & Steven MacEachern Yi Lu (2017) PhD Dissertation (Statistics): Function Registration from a Bayesian Perspective Advisors: Radu Herbei & Sebastian Kurtek
Statistics is the art of communicating with the silent truth-teller: data. More legitimate, accurate and powerful inference from data is the endless pursuit of all statisticians. ... This thesis is divided into two self-contained parts. The first part focuses on diagnostic tools for missing data. Models for analyzing multivariate data sets with ...
PhD Theses. 2023. Title. Author. Supervisor. Statistical Methods for the Analysis and Prediction of Hierarchical Time Series Data with Applications to Demography. Daphne Liu. Adrian E Raftery. Exponential Family Models for Rich Preference Ranking Data.
There are all kinds of statistics you could use for your Master's thesis, Master's dissertation, Ph.D. thesis, and Ph.D. dissertation. These days, it is assumed and maybe required that you use multivariate statistics of some kind. The days of simple bivariate correlations and t-tests seem to be gone forever - depending on the area of ...
Department of Statistics - Academic Commons Link to Recent Ph.D. Dissertations (2011 - present) 2022 Ph.D. Dissertations. Andrew Davison. Statistical Perspectives on Modern Network Embedding Methods. Sponsor: Tian Zheng. Nabarun Deb. Blessing of Dependence and Distribution-Freeness in Statistical Hypothesis Testing.
Guide to library resources in statistics and probability theory.
Supervisor. "Investigating effects of the choice of latent variable distribution for the two parameter logistic response model". David Edward Haldors Dailey. Elena A. Erosheva, Thomas S Richardson. "Analysis of Haplotype Structure: Application to the DARC Gene Region". Ting-Yuan Liu. Elizabeth Thompson. 2004. Title.
There are 3 main types of descriptive statistics: The distribution concerns the frequency of each value. The central tendency concerns the averages of the values. The variability or dispersion concerns how spread out the values are. You can apply these to assess only one variable at a time, in univariate analysis, or to compare two or more, in ...
It usually starts with something like "A THESIS Presented to the Faculty …" and ends with "Lincoln, Nebraska [month] [year]." ABSTRACT: Just include the body of the abstract, not the title or your name, but DO add your advisor's name at the end of the abstract after the word Advisor and a colon, like this: Advisor: ….
Estimating the demand for and value of recreation access to national forest wilderness: a comparison of travel cost and onsite cost day models | M.S. | 05/2007. Tan Ding. Implementing SELC (sequential elimination of level combinations) for practitioners: new statistical softwares | M.S. | 12/2006. Adam J. Hinely.
MSc thesis (Biostatistics, University of Zurich, 2013): Disease mapping with the Besag-York-Mollié model applied to a cancer and a worm infections dataset. 2013, Master's thesis in Biostatistics. Stefan Purtschert. Construction of bathymetric charts using spatial statistics. 2012, Master's thesis in Mathematics.
On the Optimal Estimation, Control, and Modeling of Dynamical Systems. Xu, Wanting. 2017. 1. Estimation and Inference for High-Dimensional Times Series. Zhang, Danna. 2017. 1. A Bayesian Large-Scale Multiple Regression Model for Genome-Wide Association Summary Statistics.
Below is a list of the theses produced by graduate students in the Department of Statistics and Actuarial Science. 2023-3 Payman Nickchi Ph.D Linkage fine-mapping on sequences from case-control studies and Goodness-of-fit tests based on empirical distribution function for general likelihood model R ...
Replication repository for my master's thesis. Contribute to wieland-p/Masterthesis_2024 development by creating an account on GitHub. ... Content: R-scripts for regression models, descriptive statistics, robustness checks and data visualization. Data: to run the scripts, data can be provided upon request. Mail: [email protected]. About.
Statistics homework assignment help. If you need help with R programming homework, reach out. Økonometri Reddit. I also help with Jamovi assignments, STATA homework, SPSS labs and Excel homework. ... Hire me as a consultant to work on the data analysis (statistical analysis) portion of your dissertation or thesis. Text me on my Discord ...
Many coatings only need to either be durable or fast drying, usually sacrificing long term stability in favor of quick setting, or vice versa. One coating type that cannot afford to sacrifice either performance feature is traffic paint. These paints are made up of a weak polycation, an anionic latex, and a volatile base which evaporates upon application.