Resampling Methods: A Practical Guide to Data Analysis

by Phillip I. Good

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The goal of this book is to introduce statistical methodology-estimation, hypothesis, testing and classification-to a wide applied audience through resampling from existing data via the bootstrap, and estimation or cross-validation methods. The book provides an accessible introduction and practical guide to the power, simplicity and veritability of the bootstrap, cross-validation and permutation tests. Industrial statistical consultants, professionals...

Format:Hardcover

Language:English

ISBN:0817642439

ISBN13:9780817642433

Release Date:November 2001

Publisher:Springer

Length:238 Pages

Weight:1.10 lbs.

Dimensions:0.7" x 6.3" x 9.4"

Related Subjects

Computers & Technology Math Mathematics Medical Medical Books Science & Math Software Statistics

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Resampling Methods: A Practical Guide to Data Analysis

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