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Complex multivariate problems are frequently encountered in many scientific disciplines and it can be very difficult to obtain meaningful results. Permutation and nonparametric combination methods provide flexible solutions to complex problems by reducing the problem down to a set of simpler subproblems. The author presents a novel but well tested approach using real examples taken from biomedical research. Statistical analyses are performed in a nonparametric setting, so that no assumptions need be made about the underlying distribution and the dependence relations between variables. Provides…mehr

Produktbeschreibung
Complex multivariate problems are frequently encountered in many scientific disciplines and it can be very difficult to obtain meaningful results. Permutation and nonparametric combination methods provide flexible solutions to complex problems by reducing the problem down to a set of simpler subproblems. The author presents a novel but well tested approach using real examples taken from biomedical research. Statistical analyses are performed in a nonparametric setting, so that no assumptions need be made about the underlying distribution and the dependence relations between variables. Provides a clear exposition of the use of multivariate permutation testing, with emphasis on the use of nonparametric combination methodology. Growing area of research with many practical applications, notably in biostatistics. Numerous case studies and examples help to illustrate the theory. Provides solutions to multi-aspect problems, to problems with missing data, analysis of factorial designs and repeated measures. Explains the analysis of categorical, ordered categorical, binary, continuous, and mixed variables in both an experimental and an observational context.Eine neuartige, aber sorgfältig getestete Methode des multivariaten Permutationtests kommt in diesem Band zur Sprache. Elegant unterteilt der Autor jedes Problem in seine Komponenten und wendet, wo es möglich ist, nichtparametrische Kombinationsverfahren an, um allgemeine Lösungen zu ermitteln. Der Vorteil dieser parameterfreien Ansätze liegt darin, daß keinerlei Annahmen bezüglich der Verteilung einer Population getroffen werden müssen. Viele Fallstudien und Beispiele illustrieren die Theorie. Die beiliegende CD enthält Software und Datensätze zum selbständigen Durcharbeiten der Beispiele.
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Autorenporträt
Fortunato Pesarin is with the Department of Statistics, University of Padova, Italy. Professor Pesarin has been actively involved in the areas of multidimensional testing and permutation for almost 40 years, and is the author of dozens of publications in numerous international journals.
Rezensionen
"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)