 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 6382 of 135

(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) 
(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 deemphasizing 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) 
(2008)Key words: Ordinal data; Quantile regression; Nonparametric transformation model; Second Longitudinal Study of Aging.
application/pdf
PDF (1MB) 
(20140916)Quantile autoregression (QAR) provides an alternative way to study asymmetric dynamics and local persistence in time series. It is particularly attractive for censored data, where the classical autoregressive models are ...
application/pdf
PDF (323kB) 
(1995)The thesis consists of six chapters and focus on two topics: quantile regression and survival analysis. Firstly, direct use of regression quantiles to construct confidence intervals and confidence bands for conditional ...
application/pdf
PDF (3MB) 
(2003)Quantile regression extends the statistical quantities of interest beyond conditional means. The regression has been well developed for linear models but less explored for nonparametric models. In this thesis, we consider ...
application/pdf
PDF (4MB) 
(2009)Keywords. Survival Analysis; Quantile Regression; KaplanMeier; the Cox Proportional Hazards Model; Accelerated Failure Time Model.
application/pdf
PDF (2MB) 
(1999)The remainder of my thesis studies multivariate symmetry. Several wellstudied parametric and nonparametric tests for univariate symmetry are extended to multivariate settings. We study the asymptotic distributions of these ...
application/pdf
PDF (4MB) 
(1991)Recursive methods for solving the nonparametric regression problem in the GLIMs and computing the Best Linear Unbiased Predictors are discussed here. An iterated state space algorithm is introduced to compute the generalized ...
application/pdf
PDF (7MB) 
(1996)The topics of this thesis stem from two EPA/NISS (Environmental Protection Agency/National Institute of Statistical Sciences) projects, which require the use of available data to make risk assessment, estimate uncertainty ...
application/pdf
PDF (4MB)
Now showing items 6382 of 135