Synopsis:
This book is a practical introduction to statistical techniques called nonpara metric methods. Using examples, we explain assumptions and demonstrate procedures; theory is kept to a minimum. We show how basic problems are tackled and try to clear up common misapprehensions so as to help both students of statistics meeting the methods for the first time and workers in other fields faced with data needing simple but informative analysis. An analogy between experimenters and car drivers describes our aim. Statistical analyses may be done by following a set of rules without understanding their logical basis, but this has dangers. It is like driving a car with no inkling ofhow the internal combustion engine, the gears, the ignition system, the brakes actually work. Understanding the rudiments helps one get better performance and makesdrivingsafer;appropriate gearchanges become a way to reduce engine stress, prolong engine life, improve fuel economy, minimize wear on brake linings. Knowing how to change the engine oil or replace worn sparking plugs is notessential for adriver, but it will reduce costs. Learning such basics will not make one a fully fledged mechanic, even less an automotive engineer; but it all contributes to more economical and safer driving, alertingone to the dangers ofbald tyres, aleakingexhaust, worn brake linings.
Review:
"Strengths of this text certainly include its organization and writing style. Applied Nonparametric Statistical Methods provides a very clear exposition of modern nonparametric methods. Many students and practitioners will find it an excellent resource and reference for nonparametric statistics." -Technometrics, 2003" extremely valuable for statisticians as well as for researchers in applied fields. This well-written book is highly recommended for those readers who want to get a feeling for the nonparametric methods which they apply when analysing their data." - Statistics in Medicine, 2004 About the Second Edition "Nicely laid out for practitioners with minimal theory, very deliberate explanations, and lots of illustrations." -Technometrics "This is the third edition of a very good book on nonparametric statisticsgoes far beyond being a compendium of useful methods. It aims at promoting understanding as well. Good statistical practice is exemplified throughout Particularly commendable are their discussions of multiple comparisons and conditioning in the two by two contingency table If I could only have one book on nonparametric methods, this would be my choice. It is highly recommended." -Short Book Reviews of the ISI, Vol. 21, No. 2, August, 2001
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