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Model Averaging
This book provides a concise and accessible overview of model averaging, with a focus on applications. Model averaging is a common means of allowing for model uncertainty when …
Adaptive Sampling Designs
This book aims to provide an overview of some adaptive techniques used in estimating parameters for finite populations where the sampling at any stage depends on the sampling …
Permutation Testing for Isotonic Inference on Association Studies in Genetics
The purpose of this book is to illustrate a new statistical approach to test allelic association and genotype-specific effects in the genetic study of diseases. There are some …
Sampling Designs Dependent on Sample Parameters of Auxiliary Variables
This short monograph provides a synthesis of new research on sampling designs that are dependent on sample moments or the order statistics of auxiliary variables. The range of …
L1-Norm and L8-Norm Estimation
This monograph is concerned with the fitting of linear relationships in the context of the linear statistical model. As alternatives to the familiar least squared residuals …
Handling Missing Data in Ranked Set Sampling
?The existence of missing observations is a very important aspect to be considered in the application of survey sampling, for example. In human populations they may be caused by a …
Generalized Hyperbolic Secant Distributions
?Among the symmetrical distributions with an infinite domain, the most popular alternative to the normal variant is the logistic distribution as well as the Laplace or the double …
Statistical Models for Proportions and Probabilities
?Methods for making inferences from data about one or more probabilities and proportions are a fundamental part of a statistician’s toolbox and statistics courses. Unfortunately …
The Cox Model and Its Applications
This book will be of interest to readers active in the fields of survival analysis, genetics, ecology, biology, demography, reliability and quality control.Since Sir David Cox’s …
Model Choice in Nonnested Families
This book discusses the problem of model choice when the statistical models are separate, also called nonnested. Chapter 1 provides an introduction, motivating examples and a …
Formulas Useful for Linear Regression Analysis and Related Matrix Theory
?This is an unusual book because it contains a great deal of formulas. Hence it is a blend of monograph, textbook, and handbook.It is intended for students and researchers who need …
Bayesians Versus Frequentists
This book analyzes the origins of statistical thinking as well as its related philosophical questions, such as causality, determinism or chance. Bayesian and frequentist approaches …