With more than 500 pages of new material, the Handbook of Parametric and Nonparametric Statistical Procedures, Fourth Edition carries on the esteemed tradition of the previous editions, providing up-to-date, in-depth coverage of now more than 160 statistical procedures. The book also discusses both theoretical and practical statistical topics, such as experimental design, experimental control, and statistical analysis.
New to the Fourth Edition
Outline of Inferential Statistical Tests and Measures of
Guidelines and Decision Tables for Selecting the Appropriate Statistical Procedure
Inferential Statistical Tests Employed with a Single Sample
Inferential Statistical Tests Employed with Two Independent Samples (and Related Measures of Association/Correlation)
Inferential Statistical Tests Employed with Two Dependent Samples (and Related Measures of Association/Correlation)
Inferential Statistical Tests Employed with Two or More Independent Samples (and Related Measures of Association/Correlation)
Inferential Statistical Tests Employed with Two or More Dependent Samples (and Related Measures of Association/Correlation)
Inferential Statistical Test Employed with a Factorial Design (and Related Measures of Association/Correlation)
Measures of Association/Correlation
Multivariate Statistical Analysis
… Since its first edition in 1997, Sheskin's encyclopedic compendium has been a helpful guide to the perplexed. … The great value of the book is in its organization. … This volume is an invaluable desk reference that, if consulted, should greatly increase the appropriateness of the experimental results on which much of CS relies. Its detailed discussions of both statistics in general and individual tests will hopefully encourage computer scientists to learn more of the underlying theory that makes these tests meaningful.
—Computing Reviews, July 2009
… I recommend this book for those who already know which statistical test they want to apply and who want to learn how to do it, step by step, from the data to the conclusion. I also recommend it for teachers who will find a lot of good examples they can use within their courses.
—Philippe Castagliola, Universite de Nantes, Journal of Applied Statistics, November 2007, Vol. 34, No. 9
This book occupies a unique place in the literature. I am sure I will come back to it to check a statistical test.
—Kostas Triantafyllopoulos, University of Sheffield, Significance, December 2007
… provides both depth and breadth of coverage … I can safely recommend this book as a handy resource manual for researchers and applied practitioners as well as a textbook for students majoring in disciplines other than statistics.
—Technometrics, November 2007, Vol. 49, No. 4