First of all, for estimating the reliabilities in Weibull stress-strength models, some matching priors are derived based on a modi ed pro le likelihood. Simulation studies show that these matching priors perform well with ...

methods for both nonparametric and semiparametric estimations. In this thesis, we will exploit these unique aspects and discuss the statistical analysis of length-biased and right-censored data. The first part of this dissertation discusses a goodness...

. In this study, we used statistical method to analyze the images of photoactived localization microscopy. The 2D guassian fitting was used to obtain the centriod of each fluorescent molecule. The Ripley K value was calculated to measure the association...

characteristic curves. Finally, the analyses of three publicly available RNA-Seq datasets demonstrate the power and flexibility of the hmmSeq methodology. This dissertation also introduces an empirical Bayesian approach to detect differentially expressed genes...

[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Dynamic spatio-temporal models are statistical models that specify the joint distribution of a spatio-temporal process as the product of a series of conditional models whereby...

[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] This researcher performed an evaluation of the Missouri public high school personal finance graduation requirement. Sophomore, junior, and senior students at a Missouri public...

of Missourians on a set of important political, economic, and social issues, researchers at the Harry S Truman School of Public Affairs examined results from the 2008 Cooperative Congressional Election Survey (CCES). This nationally-representative public opinion...

The purpose of this quantitative study was to create a predictive model to account for the variance in student performance based upon school district categorical expenditures. The study analyzed seven independent variables, ...

[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] The purpose of this research is to examine effects of levels of statistics on perceived story credibility and personal involvement and the role of number anxiety on these results...

In this dissertation, a novel approach of integrating template matching with statistical modeling is proposed to improve continuous speech recognition. Commonly used Hidden Markov Models (HMMs) are ineffective in modeling details of speech temporal...

We apply statistical model-based approaches to address temporal and spatial observation selection challenges in wireless sensor networks. For temporal observation selection, we present an improved version of VoIDP algorithm that is the first optimal...

meta-analysis using only summary statistics. For MRCTs, one key issue is how to assess the consistency of treatment effect among concerned regions and how to determine the sample sizes. Two frequentist consistency criteria defined by the guideline...

[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] We establish conditions on the Hamiltonian evolution of interacting molecules that imply hydrodynamic equations at the limit of infinitely many molecules ...

Infectious diseases are caused by a variety of agents: viruses, bacteria, parasites, or even proteins. Using existing state-of-the-art methods and tools I developed myself, I studied aspects of infectious agents. To find ...

is to test the methylation difference under two conditions of biological samples. However, the high cost and complexity of this sequencing experiment limits the number of biological replicates, which brings challenges to the development of statistical methods...

Spatio-temporal processes can often be written as hierarchical state-space processes. In situations with complicated dynamics such as wave propagation, it is difficult to parameterize state transition functions for ...

measures, correlation statistics, and Moran's I, which is the most commonly used measure of spatial association. The effects of counties being similar in nature are also considered. Following these analyses, regression models are estimated that predict...

[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] The purpose of the study was to explore and analyze the relationships among the factors of servant leadership, school culture, and student achievement in Missouri public middle...

The use of unlabeled data is very important for regression and classification analysis in many cases. However, the data may have an extra layer of complexity with some wrongly labelled data points. The traditional ...