Huge product rangeOver 140,000 books & equipment products
Rapid shippingUK & Worldwide
Pay in £, € or U.S.$By card, cheque, transfer, draft
Exceptional customer serviceGet specialist help and advice
Not even the most brilliant statistician can instantly recall every rule and concept that forms the daily bread of statistical work. Sensibly organized for quick reference, "Statistical Rules of Thumb, Second Edition" compiles simple rules that are widely applicable, robust, and elegant, and that capture key statistical concepts. This handbook provides a framework for considering statistical questions and explains the justification for each rule. This second edition is thoroughly updated to provide the most current tool for undergraduate and graduate-level students, applied statisticians, and statistical consultants.
GERALD van BELLE, PhD, is Professor in the Department of Biostatistics and the Department of Environmental and Occupational Health Sciences at the University of Washington. He is the author or coauthor of more than 130 journal articles and several books, including Biostatistics: A Methodology for the Health Sciences, also published by Wiley. A recipient of the 2003 Wiley Author of the Year Award (Mathematics and Statistics Section), Dr. van Belle is a Fellow of both the American Statistical Association and the American Association for the Advancement of Science.
For the applied researcher who does much of her or his own data analysis, this book is a must-have. Even the applied statistician would benefit from owning a copy of this collection. It is certain that some 'rules' will be new, and the descriptions in the text can come in quite handy when one is trying to explain a concept to a non-statistician. In short, this collection of 'rules' is highly recommended. (MAA Reviews, Dec 2008) "The first edition was masterful, the second is beyond wonderful. First-edition topics have been updated; new chapters on observational studies and evidence-based medicine broaden and deepen impact. A must read for all who produce or read quantitative studies." (Thomas A. Louis, PhD, Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health)