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The influence of statistical and narrative evidence on consumer search for additional product information
(University of Missouri--Columbia, 2014)
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 on selected topics
(University of Missouri--Columbia, 2012)
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...
Verifying risk-based inspection intervals based on historical records and statistical analysis of bridge files
(University of Missouri--Columbia, 2014)
Higher-order thinking in the high-stakes accountability era : linking student engagement and standardized test performance
(University of Missouri--Columbia, 2009)
[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...
The State of Early Childhood Programs: 2009
(Center for Family Policy & Research, 2009)
in the likelihood children will some day engage in criminal activity or be dependent on public welfare programs....
Speed-based safety analysis for work zones
(University of Missouri--Columbia, 2011)
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...
Bayesian spatial analysis with application to the Missouri Ozark Forest ecosystem project
(University of Missouri--Columbia, 2008)
[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 ...
Statistical and stochastic results for three dimensional fluids
(University of Missouri--Columbia, 2012)
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 ...
Objective Bayesian inference for stress-strength models and Bayesian ANOVA
(University of Missouri--Columbia, 2012)
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 ...
Nonparametric analysis of interval-censored failure time data
(University of Missouri--Columbia, 2009)
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 ...
Regression analysis of clustered interval-censored failure time data
(University of Missouri--Columbia, 2012)
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 ...
Statistical image analysis of photoactivated localization microscopy
(University of Missouri--Columbia, 2013)
. 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...
Statistical analysis of length-biased and right-censored data
(University of Missouri--Columbia, 2013)
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...
An evaluation of the Missouri public high school personal finance course graduation requirement : is there a transfer of knowledge?
(University of Missouri--Columbia, 2012)
[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...
Hierarchical modeling of nonlinear multivariate spatio-temporal dynamical systems in the presence of uncertainty
(University of Missouri--Columbia, 2012)
[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...
Effects of levels of statistics and the role of number anxiety on perceived story credibility and personal involvement
(University of Missouri--Columbia, 2018)
[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...
Bayesian analysis for detecting differentially expressed genes from RNA-seq data
(University of Missouri--Columbia, 2014)
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...
Integrate template matching and statistical modeling for continuous speech recognition
(University of Missouri--Columbia, 2011)
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...
The relationship between 2013-2015 Missouri public school district student performance and district expenditures and statistics
(University of Missouri--Columbia, 2016)
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, ...
Statistical model-based methods for observation selection in wireless sensor networks and for feature selection in classification
(University of Missouri--Columbia, 2012)
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...