Overview
- Makes a variety of powerful data analytic tools easily available to practitioners
- New material has been added to the second edition
Part of the book series: Springer Series in Statistics (SSS)
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Table of contents(9 chapters)
About this book
Reviews
From the Reviews:
"[T]his is a nicely written book that contains many important and useful topics, and I am certan that many pracitioners and researchers will find the new edition beneficial." (Technometrics, May 2008, Vol. 50 No. 2)
“This is a very well-written text that extensively covers permutation-based tests in a general framework. It has been revised and extended by nearly 100 pages since the 2001 edition. …This book is packed with real-data examples and dozens of simulation studies exploring the properties of permutation-based tests and contrasting them with their typical parametric ‘competitors.’ The authors do not shy away from presenting the mathematical underpinnings of the methods, and do so in a very transparent and easy-to-follow manner so there is sufficient detail to implement the methods in your favorite software … . That is not a concern if you are familiar with FORTRAN-77, as the authors have provided over 100 FORTRAN programs an associated datasets for download in Unix-compatible and Windows-compatible format. These well-commented programs are briefly described in Appendix A with subsections organized by chapter. …Permutation Methods is a superb book that is highly recommended.” ( Journal of the American Statistical Association, Dec. 2009, Vol. 104, No. 488)Authors and Affiliations
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Department of Statistics, Colorado State University, Fort Collins
Paul W. Mielke
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Department of Sociology, Colorado State University, Fort Collins
Kenneth J. Berry
Bibliographic Information
Book Title: Permutation Methods
Book Subtitle: A Distance Function Approach
Authors: Paul W. Mielke, Kenneth J. Berry
Series Title: Springer Series in Statistics
DOI: https://doi.org/10.1007/978-0-387-69813-7
Publisher: Springer New York, NY
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer-Verlag New York 2007
Hardcover ISBN: 978-0-387-69811-3Published: 10 August 2007
Softcover ISBN: 978-1-4419-2416-2Published: 19 November 2010
eBook ISBN: 978-0-387-69813-7Published: 29 July 2007
Series ISSN: 0172-7397
Series E-ISSN: 2197-568X
Edition Number: 2
Number of Pages: XVIII, 446
Topics: Probability Theory and Stochastic Processes, Statistical Theory and Methods, Biometrics, Data Mining and Knowledge Discovery, Psychometrics, Public Health