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.
Or split into 4x interest-free payments of 25% on orders over R50
Learn more
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.
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 | Paul W. Mielke, Kenneth J. Berry |
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 |