This new edition follows the basic easy-to-digest pattern that was so well received by users of the earlier editions. The authors substantially update and expand Applied Nonparametric Statistical Methods to reflect changing attitudes towards applied statistics, new developments, and the impact of more widely available and better statistical software.

The book takes into account computing developments since the publication of the popular Second Edition, rearranging the material in a more logical order, and introducing new topics. It emphasizes better use of significance tests and focuses greater attention on medical and dental applications. Applied Nonparametric Statistical Methods: Third Edition explains the rationale of procedures with a minimum of mathematical detail, making it not only an outstanding textbook, but also an up-to-date reference for professionals who do their own statistical analyses.
New in the Third Edition:

Expanded coverage of topics - such as ethical considerations and calculation of power and of sample sizes needed

Refers to a wide variety of statistical packages - such as StatXact, Minitab, Testimate, S-plus, Stata, and SPSS

Includes sections on the analysis of angular data, the use of capture-recapture methods, the measurement of agreement between observers, runs tests, and regression diagnostics.

Cr�ticas

"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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