This set features:Linear Regression Analysis, Second Edition by George A. F. Seber and Alan J. Lee (978-0-471-41540-4)Nonlinear Regression by George A. F. Seber and C. J. Wild (978-0-471-471
A comprehensive, must-have handbook of matrix methods with a unique emphasis on statistical applications This timely book, A Matrix Handbook for Statisticians, provides a comprehensive, encyclopedic
WILEY-INTERSCIENCE PAPERBACK SERIES The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and gene
WILEY-INTERSCIENCE PAPERBACK SERIESThe Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and genera
Concise, mathematically clear, and comprehensive treatment of the subject.* Expanded coverage of diagnostics and methods of model fitting.* Requires no specialized knowledge beyond a good grasp of mat
This Book Will Allow You to Uncover the Secrets of Happiness and Free Yourself from Anxiety and Stress!This Beginners Guide Incorporates Teachings from over 2,000 Years AgoAre you tired? Are you stres
Unlock Your Inner Self and Achieve Lifelong Success!Astrology is a wonderfully fascinating and mysterious science that allows us a greater insight into the genuine truths of this world, ourselves and
This book provides a concise and integrated overview of hypothesis testing in four important subject areas, namely linear and nonlinear models, multivariate analysis, and large sample theory. The appr
?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 many of the quick, app
The first frontier settlement in what is now Randolph Township took place in 1795 when a handful of brave pioneers overcame incredible odds to settle in the Pennsylvania wilderness. Slowly Randolph be
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 information obtained to d
