Permutation Methods - A Distance Function Approach (Paperback, Softcover reprint of hardcover 2nd ed. 2007)

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This is the second edition of the comprehensive treatment of statistical inference using permutation techniques. It makes available to practitioners a variety of useful and powerful data analytic tools that rely on very few distributional assumptions. Although many of these procedures have appeared in journal articles, they are not readily available to practitioners. This new and updated edition places increased emphasis on the use of alternative permutation statistical tests based on metric Euclidean distance functions that have excellent robustness characteristics. These alternative permutation techniques provide many powerful multivariate tests including multivariate multiple regression analyses.


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Product Description

This is the second edition of the comprehensive treatment of statistical inference using permutation techniques. It makes available to practitioners a variety of useful and powerful data analytic tools that rely on very few distributional assumptions. Although many of these procedures have appeared in journal articles, they are not readily available to practitioners. This new and updated edition places increased emphasis on the use of alternative permutation statistical tests based on metric Euclidean distance functions that have excellent robustness characteristics. These alternative permutation techniques provide many powerful multivariate tests including multivariate multiple regression analyses.

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Product Details

General

Imprint

Springer-Verlag New York

Country of origin

United States

Series

Springer Series in Statistics

Release date

November 2010

Availability

Expected to ship within 10 - 15 working days

First published

2007

Authors

,

Dimensions

235 x 155 x 23mm (L x W x T)

Format

Paperback

Pages

446

Edition

Softcover reprint of hardcover 2nd ed. 2007

ISBN-13

978-1-4419-2416-2

Barcode

9781441924162

Categories

LSN

1-4419-2416-7



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