 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 1635 of 115

(2000)Motivated by consulting in infrastructure studies, we consider the estimation and inference for regression models where the response variable is bounded or censored. In these conditions, least squares methods are not ...
application/pdf
PDF (3Mb) 
(2006)The classical approaches to clustering are hierarchical and kmeans. They are popular in practice. However, they can not address the issue of determining the number of clusters within the data. In this dissertation, we ...
application/pdf
PDF (2Mb) 
(1991)Consider the model $y\sb{lj} = \mu\sb{l}(t\sb{j})$ + $\varepsilon\sb{lj}$, $l = 1,..,m$ and $j = 1,..,n,$ where $\varepsilon\sb{lj}$ are independent mean zero finite variance random variables. Under the above setting we ...
application/pdf
PDF (5Mb) 
(1990)Twostage Bayes procedures, also known as Bayes double sample procedures, for estimating the mean of exponential family distributions are given by Cohen and Sackrowitz (1984). In their study, they develop double sample ...
application/pdf
PDF (2Mb) 
(2004)The flexible forms of nonparametric IRT models make test equating more challenging. Though linear equating under parametric IRT models is obvious and appropriate, it might not be appropriate for nonparametric models. Two ...
application/pdf
PDF (3Mb) 
(1996)Statistical classification and calibration with highdimensional data are studied. We have proposed new classification and calibration procedures for highdimensional data and have established dimensional consistency for ...
application/pdf
PDF (4Mb) 
(2000)In the logistic item response theory models, the number of parameters tends to infinity together with the sample size. Thus, there has been a longstanding question of whether the joint maximum likelihood estimates for these ...
application/pdf
PDF (3Mb) 
(20120627)For my thesis, I have worked on two projects: modeling parasite dynamics (Chapter 2) and complementary dimensionality analysis (Chapter 3). In the first project, we study a longitudinal data of infection with the parasite ...
application/pdf
PDF (2Mb) 
(2009)Microarray is a high throughput technology to measure the gene expression. Analysis of microarray data brings many interesting and challenging problems. This thesis consists three studies related to microarray data. First, ...
application/pdf
PDF (1Mb) 
(1989)The theory of statistical breakdown is studied from two different angles. Firstly, the finite sample breakdown points of estimators are found to be inherently related to their tail performances. This connection provides ...
application/pdf
PDF (3Mb) 
(1990)Probability density functions are estimated by the method of maximum likelihood in sequences of regular exponential families. The approximation families of logdensities that we consider are polynomials, splines, and ...
application/pdf
PDF (3Mb) 
(1992)As computer experiments are widely used in engineering and various other fields of science and technology, stochastic modeling and statistical analysis have been introduced to handle their outputs. Since in certain computer ...
application/pdf
PDF (3Mb) 
(2009)Finally, a robust extension of the dimensionality tests is discussed, and a real example is used to demonstrate the merit of the robust alternative.
application/pdf
PDF (3Mb) 
(1997)The joint consistency of item and ability parameter estimation remains a challenging problem in IRT parametric modeling. Although many simulation studies have been conducted on the item and ability parameter estimates ...
application/pdf
PDF (3Mb) 
(20120918)The state space model has been widely used in various fields including economics, finance, bioinformatics, oceanography, and tomography. The goal of the filtering problem is to find the posterior distribution of the hidden ...
application/pdf
PDF (493Kb) 
(1995)The ordinary least squares (OLS) method is known to be efficient for linear models when the errors are homogeneous with Gaussian distributions, but troublesome with heteroscedastic or nonGaussian errors. For the latter ...
application/pdf
PDF (3Mb) 
application/pdf
PDF (1Mb) 
(2003)The Markov chain marginal bootstrap (MCMB) is a new bootstrap method proposed by He and Hu (2002) for constructing confidence intervals or regions based on likelihood equations. It is designed to ease the computational ...
application/pdf
PDF (4Mb) 
(2004)Improved estimates of a survey population parameter can be obtained by using information about corelated auxiliary variable. There is a huge literature on such methods for estimating the mean. Here we explore some ...
application/pdf
PDF (4Mb) 
application/pdf
PDF (2Mb)
Now showing items 1635 of 115