#### Theses/Dissertations from 2016

Bayesian contributions to the modeling of multivariate macroeconomic data, Lendie Ruth Follett

#### Theses/Dissertations from 2015

Interactive visualization for missing values, time series, and areal data, Xiaoyue Cheng

Small area prediction based on unit level models when the covariate mean is measured with error, Andreea Luisa Erciulescu

Contributions to modeling spatially indexed functional data using a reproducing kernel Hilbert space framework, Daniel Clayton Fortin

Some methods for handling missing data in surveys, Jongho Im

Local prediction and classification techniques for machine learning and data mining, Cory Lee Lanker

Experimental designs for multiple responses with different models, Wilmina Mary Marget

Applications of technology and large data in statistics education and statistical graphics, Karsten Tait Maurer

Applications of and extensions to state-space models, David Allen Osthus

Computer model optimization within hidden constraints, Jostein Reiners

Bayesian modeling and computation with latent variables, Matthew Wayne Simpson

Perception in statistical graphics, Susan Ruth VanderPlas

#### Theses/Dissertations from 2014

An investigation of viral fitness using statistical and computer models of Equine Infectious Anemia Virus infection, Derek Blythe

A local structure graph model for network analysis, Emily Taylor Casleton

Imputation of missing values using quantile regression, Senniang Chen

Modeling, inference and clustering for equivalence classes of 3-D orientations, Chuanlong Du

Mixed effects modeling with missing data using quantile regression and joint modeling, Luke Karsten Fostvedt

Characterizing diurnal and interannual variability in the atmosphere through physical and stochastic models, Jonathan Michael Hobbs

Contributions to the design and analysis of nondestructive evaluation experiments, Yew-Meng Koh

Biclustering methods and a Bayesian approach to fitting Boltzmann machines in statistical learning, Jing Li

Explorations of the lineup protocol for visual inference: application to high dimension, low sample size problems and metrics to assess the quality, Niladri Roy Chowdhury

Topics in cancer genomics, Sachet Ashok Shukla

Statistical methods for random rotations, Bryan Stanfill

On empirical likelihood methods for irregularly located spatial data, Matthew Van Hala

Estimation Under Stochastic Differential Equations, Shan Yang

Fractional imputation method of handling missing data and spatial statistics, Shu Yang

Some Bayesian and multivariate analysis methods in statistical machine learning and applications, Wen Zhou

#### Theses/Dissertations from 2013

Methods for modeling and forecasting wind characteristics, Lisa Bramer

Topics in stochastic growth models, Subhomoy Ghosh

Residual analysis for structural equation modeling, Laura Hildreth

Statistical methods for the forensic analysis of striated tool marks, Amy B. Hoeksema

Reducing parameter estimation bias for data with missing values using simulation extrapolation, Yu-Yi Hsu

Threshold value estimation in the presence of covariate measurement error, Maria LaVonne Joseph

Hotspot detection and a nonstationary process variance function estimation, Eunice J. Kim

Applying item response theory modeling in educational research, Dai-Trang Le

Two sample inference for high dimensional data and nonparametric variable selection for census data, Jun Li

Estimating multiple treatment effects in two-phase observational data, Bin Liu

Statistical inference for functions of the parameters of a linear mixed model, Jia Liu

Statistical methods for extreme values and degradation analysis, Shiyao Liu

Non-parametric and semi-parametric estimation of spatial covariance function, Yang Li

Diagnostics for mixed/hierarchical linear models, Adam Madison Montgomery Loy

Investigations into Visual Statistical Inference, Md Mahbubul Amin Majumder

Modifications to classification and regression trees to solve problems related to imperfect detection and dependence, Mark McKelvey

Alternative approaches to maximum likelihood estimation of the spatial random effects model, Karl Pazdernik

Isotropic Distributions for 3-Dimension Rotations and One-Sample Bayes Inference, Yu Qiu

Propensity score adjusted method for missing data, Minsun Kim Riddles

Estimating a parametric lifetime distribution from superimposed renewal process data, Ye Tian

Workflow tools for biological applications, Marie C. Vendettuoli

Dynamic Graphics and Reporting for Statistics, Yihui Xie

Improvements to random forest methodology, Ruo Xu

#### Theses/Dissertations from 2012

Efficient estimation in missing data and survey sampling problems, Sixia Chen

On nonparametric likelihood methods for weakly and strongly dependent time series, Young Min Kim

Statistical methods in disease risk analysis, disease testing and nutrition epidemiology, Hui Lin

Statistical methods for identifying differentially expressed genes using hierarchical models, Steven Peder Lund

Assessing differential expression when the distribution of effect sizes is asymmetric and evaluating concordance of differential expression across multiple gene expression experiments, Megan Christina Orr

Modeling crash frequency data, Kristian Schmidt

Statistical analysis of RNA-seq data from next-generation sequencing technology, Yaqing Si

Applications of Non-Parametric Kernel Smoothing Estimators in Monte Carlo Risk Assessments, Allan Francis Trapp II

Using the negative log-gamma distribution for Bayesian system reliability assessment, Roger Zoh

#### Theses/Dissertations from 2011

Some contributions to Ricean and complex-valued modeling of functional MRI time series, Daniel Wright Adrian

The Use of Advanced Statistical Concepts and Analysis to Improve Nonlinear Dynamic Glucose Modeling, Lucas Beverlin

Bayesian methods for system reliability and community detection, Jiqiang Guo

Development of weighted model fit indexes for structural equation models using multiple imputation, Cherie Joy Kientoff

Investigation and development of statistical method for gene expression data analysis, Nicholas Bradley Larson

A separability index for clustering and classification problems with applications to cluster merging and systematic evaluation of clustering algorithms, Anna Dagmar Peterson

Methods for planning repeated measures degradation tests, Brian Phillip Weaver

Topics on high dimensional statistical inference and ANOVA for longitudinal data, Pingshou Zhong

Some goodness-of-fit tests and efficient estimation in longitudinal surveys under missing data, Ming Zhou

#### Theses/Dissertations from 2010

A Small Area Procedure for Estimating Population Counts, Emily J. Berg

Statistical methods for analyzing physical activity data, Nicholas Koenen Beyler

Statisical method and simulation on detecting cracks in vibrothermography inspection, Chunwang Gao

Investigation of intergenic regions of Mycoplasma hyopneumoniae and development of statistical methods for analyzing small-scale RT-qPCR assays, Stuart W. Gardner

Probabilistic Studies of Different Investment Strategies, Ling Huang

New methods for statistical modeling and analysis of nondestructive evaluation data, Ming Li

Construction and behavior of Multinomial Markov random field models, Kim Mueller

Model selection for good estimation or prediction over a user-specified covariate distribution, Adam Lee Pintar

Improving statistical inference for gene expression profiling data by borrowing information, Long Qu

Detecting recombination and its mechanistic association with genomic features via statistical models, Misha Rajaram

Contributions to accelerated destructive degradation test planning, Ying Shi

A novel principal component analysis method for identifying differentially expressed gene signatures, Ai-ling Teh

Analysis of window-observation recurrence data, Jianying Zuo

#### Theses/Dissertations from 2009

Estimating the number of true null hypotheses and the false discovery rate from multiple discrete non-uniform permutation p-values, Timothy John Bancroft

Likelihood and Bayes inference for a class of distributions on orientations in 3 dimensions, Melissa Ann Bingham

Analysis of experiments to validate computer models with binary output, Patrick Samuel Chapin

Classical and Bayesian mixed model analysis of microarray data for detecting gene expression and DNA differences, Cumhur Yusuf Demirkale

Reliability prediction based on complicated data and dynamic data, Yili Hong

Memory indicators and their incorporation into dynamic models, Wen Li

Statistical methods in a high school transcript survey, Lu Lu

New Developments in Planning Accelerated Life Tests, Haiming Ma

Some theoretical contributions to the evaluation and assessment of finite mixture models with applications, Volodymyr Melnykov

Bayesian mixture modeling and outliers in inter-laboratory studies, Garritt L. Page

Fractional Imputation, Minhui Paik