Random Effect and Latent Variable Model Selection
Random effects and latent variable models are broadly used in analyses of multivariate data. These models can accommodate ...
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Restricted Parameter Space Estimation Problems
This monograph contains a critical review of 50 years of results on questions of admissibility and minimaxity of estimators ...
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Semiparametric Theory and Missing Data
This book combines much of what is known in regard to the theory of estimation for semiparametric models with missing data ...
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Series Approximation Methods in Statistics
This book was originally compiled for a course I taught at the University of Rochester in the fall of 1991, and is intended ...
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Simulation and Inference for Stochastic Differential Equations : With R Examples
The book is organized into four chapters. The first one introduces the subject and presents several classes of processes ...
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Statistical Methods in Molecular Evolution
This book provides an overview of the statistical theory and methods used in studies of molecular evolution. It includes ...
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Statistics Applied to Clinical Trials
This book explains classical statistical analyses of clinical trials,andaddresses relatively novel issues, including equivalence ...
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Survival Analysis
This greatly expanded second edition of Survival Analysis- A Self-learning Text provides a highly readable description of ...
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The Frailty Model
Clustered survival data are encountered in many scientific disciplines including human and veterinary medicine, biology, ...
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The Statistical Analysis of Interval-censored Failure Time Data
This book collects and unifies statistical models and methods that have been proposed for analyzing interval-censored failure ...
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The Strength of Nonstandard Analysis
This book reflects the progress made in the forty years since the appearance of Robinson’s revolutionary book Nonstandard ...
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