Resampling Methods: A Practical Guide to Data Analysis - Rilegato

Good, Philip I.

Rilegato

ISBN 10: 0817640916 ISBN 13: 9780817640910

Casa editrice: Birkhauser Boston Inc, 1999

Riassunto

The aim of this volume is to introduce statistical methodology-estimation, hypothesis, testing and classification to a wide audience through resampling from existing data via the bootstrap, and estimation or cross-validation methods.

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Recensione

"[The book] has a 309-item bibliography, a glossary, and author and subject indices.... [It] provides much greater depth on the methods [than other books on the same subject]. Software support is broad." ―Pharmaceutical Statistics

"I enjoyed this book. The style of writing suggests that statistics is fun and exploratory (which it often is). The reader is helped and encouraged to understand the problem (how the data were obtained) and how they might analyze it using resampling methods." ―The American Statistician (review of the second edition)

"...the author has packaged an excellent and modern set of topics around the development and use of quantitative models.... If you need to learn about resampling, this book would be a good place to start." ―Technometrics (review of the second edition)

"This book is what the title suggests, a practical guide to data analysis...helpful to the beginner...and a good resource...to an advanced user... The first few chapters provide a great pedagogical tool for creating in high school students an early interest in statistics. The book also proves to be a good resource for advanced topics with an extensive bibliography [and] provides in the Appendices C++, GAUSS, SAS, S-Plus and Stata codes for various procedures used in the book, along with resource material on resampling software." ―Technometrics (review of the first edition)

"Readers with a wide variety of backgrounds and interests should find this book illuminating and a valuable introduction." ―Short Book Reviews (Int’l Statistical Institute, review of the first edition)

"There is a list of 409 bibliographical references ranging from extremely theoretical to very applied... The appendices...contain advice for the ad hoc programmer, examples of code in various programming environments, as well as a guide to many resources for resampling software... More than 130 exercises are also included... This book has many very useful features for newcomers to applied statistics who will be able to learn a lot from it about the general principles of the business and about modern computer intensive methods." ―Mathematical Reviews (review of the first edition)

"Most introductory statistics books ignore or give little attention to resampling methods, and thus another generation learns the less than optimal methods of statistical analysis. The author attempts to remedy this situation by writing an introductory text that focuses on resampling methods, and he does it well." ―Ron. C. Fryxell, Albion College (review of the first edition)

"...The wealth of the bibliography covers a wide range of disciplines." ―Dr. Dimitris Karlis, Athens University of Economics (review of the first edition)

 

 

Product Description

Book by Good Phillip I

Dettagli dell?edizione

• Editore: Birkhauser Boston Inc
• Data di pubblicazione: 1999
• Lingua: Inglese
• ISBN 10: 0817640916
• ISBN 13: 9780817640910
• Rilegatura: Copertina rigida
• Numero di pagine: 332
• Contatto del produttore: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com