Description
Book SynopsisThe author presents a well tested approach using real examples taken from bio-medical research. He breaks down each problem into its components and where an unbiased partial test is found to exist, nonparametric combination methodology is used to determine overall solutions.
Trade Review"the book is well written. It cand be useful and recommended for researchers and practitioners in a number of scientific disciplines...and for graduate students..." (Zentralblatt MATH, Vol.972, No.12, 2001)
"...carefully presents a concise and mathematically rigorous treatment of permutation testing...could be used for a mathematically oriented graduate class...will form a source of recent reference material for research workers..." (Short Book Reviews, Vol. 22, No. 1, April 2002)
"This book may herald a new era in biostatistics..." (Psychotherpay and Psychosomatics, September/October 2002)
"...graduate and post-graduate students in some areas of physics and chemistry can benefit greatly from reading and using this book..." (The Statistician, Date Unknown)
Table of ContentsPreface.
Notation and Abbreviations.
Introduction.
Discussion of a Simple Testing Problem.
Theory of Permutation Tests for One-Sample Problems.
Examples of Univariate Multi-Sample Problems.
Theory of Permutation Tests for Multi-Sample Problems.
Nonparametric Combination Methodology.
Examples of Nonparametric Combination.
Permutation Analysis in Factorial Designs.
Permutation Testing with Missing Data.
The Behrens--Fisher Permutation Problem.
Permutation Testing for Repeated Measurements.
Further Applications.
References.
Index.
