Resampling Methods : A Practical Guide to Data Analysis by Phillip I. Good (2001, Hardcover)

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RESAMPLING METHODS By Phillip Good & P. Good - Hardcover *Excellent Condition*.

About this product

Product Identifiers

PublisherBirkhäuser Boston
ISBN-100817642439
ISBN-139780817642433
eBay Product ID (ePID)1936603

Product Key Features

Number of Pages256 Pages
LanguageEnglish
Publication NameResampling Methods : a Practical Guide to Data Analysis
SubjectProbability & Statistics / General
Publication Year2001
TypeTextbook
Subject AreaMathematics
AuthorPhillip I. Good
FormatHardcover

Dimensions

Item Weight17.6 Oz
Item Length9.4 in
Item Width6.3 in

Additional Product Features

Edition Number2
Intended AudienceCollege Audience
LCCN2001-032841
Dewey Edition22
IllustratedYes
Dewey Decimal519.5/4
SynopsisThe 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 and researchers will find the book's methods and software imimediately helpful. (unvollstandig)) This Second edition is a practical guide to data analysis using the bootstrap, cross-validation, and permutation tests. It is an essential resource for industrial statisticians, statistical consultants, and research professionals in science, engineering, and technology. Only requiring minimal mathematics beyond algebra, it provides a table-free introduction to data analysis utilizing numerous exercizes, practical data sets, and freely available statistical shareware. Topics and features: *Thoroughly revised text features more practical examples plus an additional chapter devoted to regression and data mining techniques and their limitation
LC Classification NumberQA278.8.G66 2001

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