Amazon cover image
Image from Amazon.com

Resampling methods : a practical guide to data analysis / Phillip I. Good.

By: Good, Phillip IMaterial type: TextTextLanguage: English Publication details: Boston : Birkhäuser, c2006. Edition: 3rd edDescription: xvi, 218 p. : ill. ; 24 cmISBN: 0817643869 (acidfree paper); 9780817643867Subject(s): Resampling (Statistics)DDC classification: 519.54 LOC classification: QA278.8 | .G66 2006Online resources: Publisher description | WorldCat details | Ebook Fulltext
Contents:
TOC Preface to the Third Edition Preface to the Second Edition Preface to the First Edition Which Chapter Should I Read? Software for Resampling Estimating Population Parameters Comparing Two Populations Choosing the Best Procedure Experimental Design and Analysis Categorical Data Multiple Variables and Multiple Hypotheses Model Building Decision Trees Answers to Selected Exercises Bibliography Glossary Author Index Subject Index
Summary: A practical guide to data analysis using the bootstrap, cross-validation, and permutation tests. It provides a table-free introduction to data analysis utilizing numerous exercises, practical data sets, and freely available statistical shareware.
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Current library Collection Call number Copy number Status Date due Barcode Item holds
E-Book E-Book EWU Library
E-book
Non-fiction 519.54 GOR 2006 (Browse shelf(Opens below)) Not for loan
Text Text EWU Library
Reserve Section
Non-fiction 519.54 GOR 2006 (Browse shelf(Opens below)) C-1 Not For Loan 26615
Total holds: 0

Includes bibliographical references (p. [195]-207) and indexes.

TOC Preface to the Third Edition Preface to the Second Edition Preface to the First Edition Which Chapter Should I Read? Software for Resampling Estimating Population Parameters Comparing Two Populations Choosing the Best Procedure Experimental Design and Analysis Categorical Data Multiple Variables and Multiple Hypotheses Model Building Decision Trees Answers to Selected Exercises Bibliography Glossary Author Index Subject Index

A practical guide to data analysis using the bootstrap, cross-validation, and permutation tests. It provides a table-free introduction to data analysis utilizing numerous exercises, practical data sets, and freely available statistical shareware.

AS

Tahur Ahmed

There are no comments on this title.

to post a comment.

Library Home | Contacts | E-Resources
Copyright @ 2011-2022 EWU Library
East West University