Resampling Methods | A Practical Guide to Data Analysis

Phillip I. Good

ISBN 10: 0817643869 / ISBN 13: 9780817643867

Published by Birkhäuser, 2005

Resampling Methods | A Practical Guide to Data Analysis | Phillip I. Good | Buch | xx | Englisch | 2005 | Birkhäuser | EAN 9780817643867 | Verantwortliche Person für die EU: Springer Basel AG in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. Seller Inventory # 102298388

Synopsis:

"…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 thoroughly revised and expanded third edition is a practical guide to data analysis using the bootstrap, cross-validation, and permutation tests. Only requiring minimal mathematics beyond algebra, the book provides a table-free introduction to data analysis utilizing numerous exercises, practical data sets, and freely available statistical shareware.

Topics and Features

- Practical presentation covers both the bootstrap and permutations along with the program code necessary to put them to work.

- Includes a systematic guide to selecting the correct procedure for a particular application.

- Detailed coverage of classification, estimation, experimental design, hypothesis testing, and modeling.

- Suitable for both classroom use and individual self-study.

New to the Third Edition

- Procedures are grouped by application; a prefatory chapter guides readers to the appropriate reading matter.

- Program listings and screen shots now accompany each resampling procedure.

- To simplify programming, code for readers to download and apply is posted at http://www.springeronline.com/0-8176-4386-9.

- Notation has been simplified and, where possible, eliminated.

- A glossary and answers to selected exercises are included.

With its accessible style and intuitive topic development, the book is an excellent basic resource for the power, simplicity, and versatility of resampling methods. It is an essential resource for statisticians, biostatisticians, statistical consultants, students, and research professionals in the biological, physical, and social sciences, engineering, and technology.

From the Back Cover:

"…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 thoroughly revised and expanded third edition is a practical guide to data analysis using the bootstrap, cross-validation, and permutation tests. Only requiring minimal mathematics beyond algebra, the book provides a table-free introduction to data analysis utilizing numerous exercises, practical data sets, and freely available statistical shareware.

Topics and Features

* Practical presentation covers both the bootstrap and permutations along with the program code necessary to put them to work.

* Includes a systematic guide to selecting the correct procedure for a particular application.

* Detailed coverage of classification, estimation, experimental design, hypothesis testing, and modeling.

* Suitable for both classroom use and individual self-study.

New to the Third Edition

* Procedures are grouped by application; a prefatory chapter guides readers to the appropriate reading matter.

* Program listings and screen shots now accompany each resampling procedure: Whether one programs in C++, CART, Blossom, Box Sampler (an Excel add-in), EViews, MATLAB, R, Resampling Stats, SAS macros, S-PLUS, Stata, or StatXact, readers will find the program listings and screen shots needed to put each resampling procedure into practice.

* To simplify programming, code for readers to download and apply is posted at http://www.springeronline.com/0-8176-4386-9.

* Notation has been simplified and, where possible, eliminated.

* A glossary and answers to selected exercises are included.

With its accessible style and intuitive topic development, the book is an excellent basic resourcefor the power, simplicity, and versatility of resampling methods. It is an essential resource for statisticians, biostatisticians, statistical consultants, students, and research professionals in the biological, physical, and social sciences, engineering, and technology.

Bibliographic Details

Title: Resampling Methods | A Practical Guide to ...
Publisher: Birkhäuser
Publication Date: 2005
Binding: Buch
Condition: Neu
Edition: 3rd Edition