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Niall Adams
Hardcover - $96.95
John Nelder is one of today's leading statisticians, having made an impact on many and various areas of data analysis. This book contains reviews of some of those areas, written by top researchers. It is accessible to non-specialists, and is notewort ...
K. Borovkov
Paperback - $57.95
This textbook has been developed from the lecture notes for a one-semester course on stochastic modelling. It reviews the basics of probability theory and then covers the following topics: Markov chains, Markov decision processes, jump Markov process ...
Philip J. Brown
Hardcover - $348.95
With an abundance of helpful examples, this text expertly presents the essentials of measurement, regression, and calibration. The book develops the fundamentals and underlying theories of key techniques in a clear, step-by-step progression, starting ...
Jayant V. Deshpande
Paperback - $59.95
This book is meant for postgraduate modules that cover lifetime data in reliability and survival analysis as taught in statistics, engineering statistics and medical statistics courses. It is helpful for researchers who wish to choose appropriate mod ...
Stan Gibilisco
Paperback - $33.95
INCREASE YOUR ODDS OF LEARNING STATISTICS
Now anyone with an interest in mastering statistics can do so -- without formal training, unlimited time, or a private tutor. In Statistics Demystified, best-selling science and math writer Stan Gibilisco p ...
Iain Pardoe
Hardcover - $219.95
An applied and concise treatment of statistical regression techniques for business students and professionals who have little or no background in calculus
Regression analysis is an invaluable statistical methodology in business settings and is vit ...
George A. F. Seber
Hardcover - $261.95
An extensive treatment of a key method in the statistician s toolbox
For more than two decades, the First Edition of Linear Regression Analysis has been an authoritative resource for one of the most common methods of handling statistical dat ...
Rand R. Wilcox
Hardcover - $233.95
This revised book provides a thorough explanation of the foundation of robust methods, incorporating the latest updates on R and S-Plus, robust ANOVA (Analysis of Variance) and regression. It guides advanced students and other professionals through t ...