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 ...
Lee mas
Restricted Parameter Space Estimation Problems
This monograph contains a critical review of 50 years of results on questions of admissibility and minimaxity of estimators ...
Lee mas
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 ...
Lee mas
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 ...
Lee mas
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 ...
Lee mas
Statistical Methods in Molecular Evolution
This book provides an overview of the statistical theory and methods used in studies of molecular evolution. It includes ...
Lee mas
Statistics Applied to Clinical Trials
This book explains classical statistical analyses of clinical trials,andaddresses relatively novel issues, including equivalence ...
Lee mas
Survival Analysis
This greatly expanded second edition of Survival Analysis- A Self-learning Text provides a highly readable description of ...
Lee mas
The Frailty Model
Clustered survival data are encountered in many scientific disciplines including human and veterinary medicine, biology, ...
Lee mas
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 ...
Lee mas
The Strength of Nonstandard Analysis
This book reflects the progress made in the forty years since the appearance of Robinson’s revolutionary book Nonstandard ...
Lee mas
