ProQuest Subject Index - Statistics at NORTH CAROLINA STATE UNIVERSITY

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You are viewing titles for NORTH CAROLINA STATE UNIVERSITY in the Statistics available through the UMI Dissertations & Thesis Gradwoorks site

Analysis of multilocus linkage disequilibrium structure in the human genome	Joint distributions of time to default with application to the pricing of credit derivatives

Generalized estimators of the attributable benefit of an optimal treatment regime	Fast FSR methods for second-order linear regression models

Variable selection methods with applications to shape restricted regression	Variable selection for multivariate smoothing splines with correlated random errors

Variable selection in semi-parametric additive models with extensions to high dimensional data and additive Cox models	Orthology-based multilevel modeling of differentially expressed mouse and human gene pairs

Novel statistical approaches to assessing the risk of QT prolongation and sample size calculations in 'thorough QT/QTc studies'	Catch curve and capture recapture models: A Bayesian combined approach

Variable selection in multi-class support vector machine and applications in genomic data analysis	Noise ratio as a non-nested model selection tool

Robust variable selection	Skart: A skewness- and autoregression-adjusted batch-means procedure for simulation analysis

Asymptotic behavior of some Bayesian nonparametric and semi-parametric procedures	Joint distributions of time to default with application to the pricing of credit derivatives

Cholesteric gels from helical polyguanidines and cyclopolymerization of 1,2-dicarbodiimides	Assessing agreement with intraclass correlation coefficient and concordance correlation coefficient

Robust minimum density estimators and stochastic resonance for classification algorithms	Boosting methods for variable selection in high dimensional sparse models

Model selection and estimation in additive regression models	Sparse estimation and inference for censored median regression

Developments and applications of a closed capture-recapture robust design model to avian point count data	Improving efficiency and robustness of doubly robust estimators in the presence of coarsened data

Comparing predictive values of two diagnostic tests	Bayesian regression methods for crossing survival curves

Adjusting for measurement error	Variations on the accelerated failure time model: Mixture distributions, cure rates, and different censoring scenarios

Hierarchical Bayesian application to instantaneous rates tag-return models	Addressing sources of bias in genetic association studies

Applications of atmospheric plasmas	Single state super population capture-recapture model augmented with information on population of origin

Multivariate robust estimation of DCC-GARCH volatility model	Multiple Trait Multiple Interval Mapping of Quantitative Trait Loci from Inbred Line Crosses

Random Effect Selection in Linear Mixed Models	Comparison and Analysis of Pre-Service Teachers' Knowledge of Measures of Central Tendency and Measures of Dispersion for Both Normal Data and Non-Normal Data Using Multiple Representations

Variable Selection via Confidence Regions	Survival of Escherichia coli O157:H7 in Acidified Foods: A predictive Modeling Approach

Estimation of Coastal Evolution through Coupled Wave Modeling and GIS Techniques	Essays on Multivariate Stochastic Volatility Models Using Wishart Processes: A General Discussion and Dimension Reduction by Latent Factor Structures

Vibration-based Damage Detection and Health Monitoring of Bridges	Penalization Methods for Group Identification and Variable Selection in Models with Correlated Predictors

Mixture Models for Gene Expression Experiments with Two Species	A Bayesian Spatial Analysis of Extreme Precipitation

Neural Networks for Time Series Forecasting: Practical Implications of Theoretical Results	Model Selection with Epistasis: A Focus on Comparative Performance and Prediction to Improve the Usability of Multifactor Dimensionality Reduction

Financial Risk Management: Portfolio Optimization	Spatial-Temporal Modeling of the Association between Air Pollution Exposure and Birth Outcomes

Semi-Parametric Models for Independent Component Analysis	Penalized Likelihood Analysis of Haplotype Effects

Application of Nonparametric Quantile Regression to Estimating Value at Risk	Bivariate Contours for Censored data

Complete Least Squares: A New Variable Screening and Selection Method	Stochastic Target Problem With Jump Diffusion

Characterizing Spatiotemporal Trends in Amphibian Abundance Using Latent Variable Models	Variable Selection and Dimension Reduction for High Dimensional Complex Data

Methods for Interquantile Shrinkage and Variable Selection in Linear Regression Models	Implementation of Association Methods for Less Constrained Sampling Strategies

Bayesian Inference of Stochastic Volatility Models and Applications in Risk Management	Semiparametric Estimation and Inference for Censored Regression Models

Methods to Improve Prediction Accuracy under Structural Constraints	Q- and A-learning Methods for Estimating Optimal Dynamic Treatment Regimes

Advanced Statistical Methods for Complex Longitudinal Data	Variable Selection and Inference for Covariate-Adjusted Semiparametric Inference in Randomized Clinical Trials

Calibration of Numerical Model Output Using Nonparametric Spatial Density Functions	Elements of High-Order Predictive Model Calibration Algorithms with Applications to Large-Scale Reactor Physics Systems

New Techniques for Functional Data Analysis: Model Selection, Classification, and Nonparametric Regression	Quantitative Genetic Analysis of Maize Photoperiod Response and Resistance to Fusarium Ear Rot

Genetic Algorithms for Multicriteria Project Selection and Scheduling	Model Selection and Estimation in Generalized Additive Models and Generalized Additive Mixed Models

Robust Statistical Method for Estimating Optimal Dynamic Treatment Regimes