The purpose of this brief is to provide an overview of domestic violence in Missouri and discuss how well domestic violence records are tracked in the justice system. This note compares how Missouri's records on domestic ...

Presentation of voting statistics and democratic models....

The purpose of this 2 X 2, between-subjects experiment is to use the model of Information Search Process (ISP) to test the effects of two common message features used in electronic word-of-mouth: statistical valence (positive/negative) and narrative...

Bayesian methods are widely adopted nowadays in statistical analysis. It is especially useful for the statistical inference of complex models or hierarchical models, for which the frequentist methods are usually difficult to be applied. Though as a...

While few would disagree that elections serve a fundamental role in democracy, there is considerable debate regarding the rules by which elections should be conducted. State and local officials responsible for carrying out ...

in the likelihood children will some day engage in criminal activity or be dependent on public welfare programs....

This OSEDA presentation discusses social and economic trends in the United States and Missouri particularly with an emphasis on labor statistics, unemployment rates, renewable energy and green economy, cheetah firms, and general population...

[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] The present study attempted to statistically test whether a nexus exists between student engagement levels within schools that elect to incorporate the Instructional Practices...

Includes foreign grain production and consumption as well as supply, export or import, and stocks vs. farm price for corn, soybeans and wheat in the decade 1990-2000.

[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] Bayesian hierarchical framework brings more flexibility by accounting for variation from different levels and improves the estimation of parameters ...

is usually considered as the measures of effectiveness in evaluating speed management strategies. In order to determine the significance of the improvements of the measure of effectiveness, statistical methodology is applied. However, in spite of the wide use...

According to a recent report from the Trust for America's Health (TFAH), obesity rates in all but one of our fifty U.S. states rose last year at an alarming rate (the exception is Oregon, where the rate remained the same ...

Clustered failure time data occur when the failure times of interest are clustered into small groups, while interval censoring occurs when the event of interest cannot be observed directly and is only known to have occurred ...

This thesis considers the problem of treatment comparisons when only interval-censored failure time data are available. This type of data occurs frequently in clinical trials and other follow-up studies. We study several ...

In part I, we show that the longitudinal correlation function for homogeneous and isotropic turbulence remains negative in an interval of time, up to Galerkin approximation. Part II covers the existence and uniqueness of ...

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 ...

. 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...

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...

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...