# Browse Dissertations and Theses - Statistics by Title

• (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)
• (1965)

application/pdf

PDF (2MB)
• (2011-08-25)
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)
• (2013-08-22)
High-dimensional 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)
• (1954)

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 non-trivial 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)
• (2012-12)
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)
• (1969)

application/pdf

PDF (2MB)
• (1959)

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)
• (2006)
An algorithm that dynamically incorporates expert opinion in this way has two potential advantages, each improving with the quality of the expert. First, by de-emphasizing certain subsets of variables during the estimation ...

application/pdf

PDF (3MB)
• (2005)
Partly linear models are useful as an extension to linear regression when the response cannot be easily parameterized in terms of all covariates. Their flexibility in keeping some linear terms, while at the same time ...

application/pdf

PDF (2MB)
• (2005)
In this thesis, we consider a family of parametric power transformations for the dependent variable such that a linear or partially linear quantile regression model holds after transformation. The two models being considered ...

application/pdf

PDF (2MB)