 IDEALS Home
 →
 College of Liberal Arts and Sciences
 →
 Dept. of Statistics
 →
 Dissertations and Theses  Statistics
 →
 Browse Dissertations and Theses  Statistics by Title
Browse Dissertations and Theses  Statistics by Title
Now showing items 4261 of 115

application/pdf
PDF (2MB) 
(2005)Linear mixed models based on the normality assumption are widely used in health related studies. Although the normality assumption leads to simple, mathematically tractable, and powerful tests, violation of the assumption ...
application/pdf
PDF (2MB) 
(2004)The reference growth charts are widely used to screen the measurements from an individual subject in the context of population values. The conventional reference growth charts are generated from crosssectional data and ...
application/pdf
PDF (4MB) 
(2006)We illustrate the issues and methodology in the context of an immunogenicity study of measles vaccine for children as well as an ultrasound safety study of the occurrence and extent of lung hemorrhage in laboratory animals ...
application/pdf
PDF (3MB) 
(2007)Longitudinal data are characterized by repeated measures over time on each subject. The generalized estimating equations (GEE) approach (Liang and Zeger, 1996) has been widely used for the analysis of longitudinal data. ...
application/pdf
PDF (3MB) 
(2006)Marginal maximum likelihood estimation has become the standard for parameter estimation in latent variable models. However, there are instances when alternative estimators that jointly estimate incidental parameters and ...
application/pdf
PDF (1MB) 
application/pdf
PDF (2MB) 
(20110825)Longitudinal data arise frequently in many studies where measurements are obtained from a subject repeatedly over time. Consequently, measurements within a subject are correlated. We address two rather important but ...
application/pdf
PDF (888kB) 
(20130822)Highdimensional correlated data arise frequently in many studies. My primary research interests lie broadly in statistical methodology for correlated data such as longitudinal data and panel data. In this thesis, we address ...
application/pdf
PDF (477kB) 
(2008)General computing algorithms are developed in R for the GEE computations and WinBugs to perform Gibbs sampling for the Bayesian analysis. Analyses of randomized controlled longitudinal data and randomized controlled surgical ...
application/pdf
PDF (820kB) 
application/pdf
PDF (5MB) 
(1995)Unidimensionality is one of the most important assumptions required by much of the currently used item response theory (IRT) methodologies. In the first part of this thesis, a further and nontrivial practical refinement ...
application/pdf
PDF (4MB) 
(1994)A new index based on the conditional covariance of item scores given a latent variable is defined and investigated to assess dimensionality in educational and psychological test data. This index successfully detects the ...
application/pdf
PDF (4MB) 
(1995)Randles' one sample multivariate sign test based on interdirections is extended to two sample and multisample tests. A heuristic argument suggests that when samples are drawn from elliptically symmetric distributions all ...
application/pdf
PDF (4MB) 
(201212)Traditional linear mixed effect models assume the distributions of the random effects and errors follow normal distribution with mean zero and homoscedastic variance sigma square. This thesis presents a new nonparametric ...
application/pdf
PDF (3MB) 
(1993)Efron (1988) proposes the use of standard logistic regression techniques to estimate hazard rates and survival curves from survival data. These techniques allow statisticians to use parametric regression modeling on survival ...
application/pdf
PDF (3MB) 
application/pdf
PDF (2MB) 
application/pdf
PDF (907kB) 
(1990)Let $\{$(X$\sb{\rm t}$,Y$\sb{\rm t}$): t $\in$ N$\}$ be a strictly stationary process with X$\sb{\rm t}$ being R$\sp{\rm d}$valued and Y$\sb{\rm t}$ being real valued. Consider the problem of estimating the conditional ...
application/pdf
PDF (3MB) 
(1955)
application/pdf
PDF (4MB)
Now showing items 4261 of 115