ProQuest Subject Index - Statistics at THE UNIVERSITY OF NORTH CAROLINA AT CHAPEL HILL

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You are viewing titles for THE UNIVERSITY OF NORTH CAROLINA AT CHAPEL HILL in the Statistics available through the UMI Dissertations & Thesis Gradwoorks site

Three-way interactions with latent variables: A maximum likelihood approach	Discrete measurement, continuous time and event history modeling

More or just more of the same? A closer look at the NCAA Division II football playoff expansion	Statistical inference for the linear model with clustered data

Quantitative structure-toxicity relationship modeling of organic compounds and nanoparticles	Disease mapping of syphilis in Forsyth County, North Carolina with enhanced geoprivacy and spatial resolution

A discrete-time multiple event process survival mixture (MEPSUM) model for investigating the order and timing of multiple non-repeatable events	Methods for strengthening the design and analysis of clinical trials to show non-inferiority of a new treatment to a reference treatment for a binary response variable

Developing and testing a model to predict underrepresented students' plans for graduate study: Analysis of the 1988--2006 cohorts of a summer research program	Essays in financial economics

Better power methods for the univariate approach to repeated measures	Studies in stochastic processes: Adaptive wavelet decompositions and operator fractional Brownian motions

Functional singular value decomposition and multi-resolution anomaly detection	Effects of aggregation on estimators of long-range dependence

Continuum direction vectors in high dimensional low sample size data	New statistical tools for microarray data and comparison with existing tools

Temporal-spatial modeling for fMRI data	Fixed effects inference for clustered data in Gaussian linear models

High dimensional spatial modeling of extremes with applications to United States Rainfalls	Significance and recovery of blocks structures in binary and real-valued matrices with noise

Use of R2 statistics for assessing goodness-of-fit and model selection in the Linear Mixed Model for longitudinal data	Small noise large deviations for infinite dimensional Stochastic Dynamical Systems

Medical image analysis via Frechet means of diffeomorphisms	Data representation and basis selection to understand variation of function valued traits

Asymptotic multivariate kriging using estimated parameters with Bayesian prediction methods for non-linear predictands	Compact appearance in object populations using quantile function based distribution families

Bayesian multilevel models and medical applications	Approaches to parameter and variance estimation in generalized linear models

Linear models with a generalized AR(1) covariance structure for longitudinal and spatial data	Option pricing with stochastic volatility models

Bayesian density regression and predictor-dependent clustering	Classification on manifolds

Assessment and robust analysis of survey errors	Statistical inferences for outcome dependent sampling design with multivariate outcomes

Statistical theory and robust methodology for nonlinear models with application to toxicology	The analysis and advanced extensions of canonical correlation analysis

Multi-city time series analyses of air pollution and mortality data using generalized geoadditive mixed models	Bayesian and frequentist methods for approximate inference in Generalized Linear Mixed Models

Statistical inferences for correlated observations: Prediction and estimation	Deconvolution estimation of a mixture distribution with boundary effects motivated by mutation effect distribution

Advance in statistical theory and methods for social sciences	Principal component analyses for tree structured objects

Bayesian influence diagnostic methods for parametric regression models	Latent class linear mixed models - a general approach implemented via SAS(RTM) macro with a tutorial for clinical researchers

Variable selection for models with missing data	Flexible margin-based classification techniques

Studies of several curious probabilistic phenomena: Unobservable tail exponents in random difference equations, and confusion between models of long-range dependence and changes in regime	Modeling interdependence in collective political decision making

The single-index hazards model	An EM algorithm for maximum likelihood estimation of process factor analysis models

Semiparametric regression models for recurrent and terminal event data	Principal component analysis in high dimensional data: Application for genomewide association studies

A second-order growth model for longitudinal item response data	Detection of low rank signals in noise and fast correlation mining with applications to large biological data

New Approaches to Discrete Choice and Time-Series Cross-Section Methodology for Political Research	PIE - The Protein Inference Engine

Asymptotics for High Dimension, Low Sample Size data and Analysis of Data on Manifolds	Diffusion Approximations for Multiscale Stochastic Networks in Heavy Traffic

Asymptotic Behavior of Near Critical Branching Processes and Modeling of Cell Growth Data	Independent Component Analysis on Spectral Domain

A Functional Dynamic Factor Model	A Ridge Restricted Maximum Likelihood Approach to Spatial Models

The Gamma-Ray Burst Afterglow Modeling Project: Foundational Statistics and Absorption & Extinction Models	Methods and Approaches for Evaluating the Validity of Latent Class Models with Applications

Some contributions to high dimensional statistical learning	Option Pricing in Random Field Models with Stochastic Volatility for the Term Structure of Interest Rates

Approximate Bayesian Computing for Spatial Extremes	Advancing evidence-based practice for children with autism: Study and application of video modeling through the use and synthesis of single-case design research

Statistical Methods for Analysis of Genetic Data	Generalized fiducial inference for mixed linear models

Vertical Integration of Multiple High-Dimensional Datasets	Functional data analytic inference for systems governed by differential equations with applications

Max-stable Processes for Threshold Exceedances in Spatial Extremes	Randomization inference and principal stratification in HIV prevention studies

Fungible parameter contours and confidence regions in structural equation models	Optimal Design and Control of Finite-Population Queueing Systems