Free PDF Practical Nonparametric Statistics, 3rd, by W. J. Conover
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Practical Nonparametric Statistics, 3rd, by W. J. Conover
Free PDF Practical Nonparametric Statistics, 3rd, by W. J. Conover
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This highly-regarded text serves as a quick reference book which offers clear, concise instructions on how and when to use the most popular nonparametric procedures. This edition features some procedures that have withstood the test of time and are now used by many practitioners, such as the Fisher Exact Test for two-by-two contingency tables, the Mantel-Haenszel Test for combining several contingency tables, the Kaplan-Meier estimates of the survival curve, the Jonckheere-Terpstra Test and the Page Test for ordered alternatives, and a discussion of the bootstrap method.
- Sales Rank: #819165 in Books
- Published on: 1999-12-14
- Ingredients: Example Ingredients
- Original language: English
- Number of items: 1
- Dimensions: 9.49" h x 1.12" w x 7.85" l, 2.32 pounds
- Binding: Paperback
- 584 pages
Most helpful customer reviews
30 of 31 people found the following review helpful.
Clear and practical
By wiredweird
Standard statistics make assumptions about how the data are distributed, then give results based on the assumed distribution. Two big problems are that the distribution buried in the analysis may not be the right one, and that the assumption might not even be visible in the analysis. "Nonparametric statistics" (NPS) make no assumptions about the distribution. They work no matter how the data are distributed. Even better, they sometimes work to determine whether the standard techniques have any hope of giving answers.
For the practitioner, this book is the broadest catalog I know of how-to for NPS: when each analysis applies and how to apply it. Even more, it gives insight into how some of the tests work. That gives the reader a better chance to understand each technique's strengths, weaknesses, and applicability. For the student, including self-taught, it's a clear and well-organized textbook. The exercises are varied and generally meaningful, and half have answers (though little discussion of how the answers were derived).
I wish the book gave more background, including how some of the distributions are derived. Most times, seeing more of the derivation gives me more confidence in using an analysis. Face it, almost every real-life situation needs to be bashed a bit to fit the format expected by a test. Knowing more of the background gives me more assurance that my machinations don't break any important assumptions. Still, it's the author's choice to emphasize practice over theory and I have to respect that.
More seriously, I would like to see the bootstrapping section enlarged. Many modern applications, particularly in biology, deal with data so complex that they define analysis or even real understanding. Bootstrapping is just one of many randomization and resampling techniques used for such data. More discussion on the design and analysis of resampling techniques would have been very useful.
The book meets its goals, though, and does so admirably. I'm not a stat specialist, but this is the book I'll recommend for heavy users who want a little more than rote recitation of analytic techniques.
0 of 0 people found the following review helpful.
Excellent customer service delivery
By Vitu
I got the best deal from the book I bought and the service delivery was well executed. I got the book on the day they told me that I will receive the package. The book is very good condition and I love it. Thanks for the nice job!!!
0 of 0 people found the following review helpful.
Five Stars
By Gabe
one of the fundamental book in nonparametric stats
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