Applied Nonparametric Statistical Methods, Third Edition (Chapman & Hall/CRC Texts in Statistical Science)
Language: English
Published by Chapman and Hall/CRC, 2000
- Softcover
- Used

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- Title
- Applied Nonparametric Statistical Methods, Third Edition (Chapman & Hall/CRC Texts in Statistical Science)
- Author
- Sprent, Peter,Smeeton, Nigel C.
- Publisher
- Chapman and Hall/CRC
- Publication year
- 2000
- Condition
- Very Good
- Binding
- paperback
- Language
- English
- ISBN 10
- 1584881453
- ISBN 13
- 9781584881452
- Edition
- 3rd Edition
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:
"Synopsis" may belong to another edition of this title.
Review
-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 statistics...goes 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
"About the title" may belong to another edition of this title.
HPB-Emerald
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