Applied Nonparametric Statistics |  | Author: Wayne W. Daniel
Publisher: Duxbury Press
Category: Book
List Price: $107.95
Buy New: $69.02
You Save: $38.93 (36%)
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Rating:  4 reviews
Sales Rank: 640032
Media: Paperback
Edition: 2
Pages: 656
Number Of Items: 1
Shipping Weight (lbs): 2.2
Dimensions (in): 9.1 x 7.4 x 0.9
ISBN: 0534381944
Dewey Decimal Number: 519
EAN: 9780534381943
Publication Date: June 30, 2000
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Condition: Brand new in excellent condition. Ready to ship. Receive within 4 days. Satisfaction guaranteed. International delivery within 7 days. US edition.
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Product Description
This book covers the most commonly used nonparametric statistical techniques by emphasizing applications rather than theory. Exercises and examples are drawn from various disciplines including agriculture, biology, sociology, education, psychology, medicine, business, geology, and anthropology. The applications of techniques are presented in a step-by-step format that is repeated for all illustrative examples. Concepts are reinforced with many references to statistical literature to show the relevance to real-world problems. Chapters contain references of available computer programs and software packages that apply to methods presented in the book.
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| Customer Reviews:
 Now Available in Paperback September 7, 2000
6 out of 8 found this review helpful
Applied Nonparametric Statistics, second edition, by Wayne W. Daniel, published by Duxbury Press is now available in paperback.
Great Book December 19, 2003
Daryl Paulson (Bozeman, Montana)
0 out of 2 found this review helpful
If you need to do nonparametric statistics, get this book.
He is a very clear author and uses many examples.
OK September 13, 2001
0 out of 3 found this review helpful
It is a good book about nonparametric statistics although there are some errors in it. Comparing books of the similar content, it is a high quality one.
 This is a terrible textbook! September 11, 2007
The Doctor (The TARDIS)
This is a terrible textbook that refers readers, for every problem, to tables in the back of the book without bothering to explain how on earth to interpret them. Further, the way in which one does use these tables is in no way intuitive. Examples walking readers through the interpretation of these poorly constructed tables would not just be nice, it is necessary. To put this in perspective, I teach statistics to graduate students and myself find the tables in this book near-impossible to make sense of. Thinking perhaps it's just me I've shown this book to other college statistics instructors. They had the same reaction I did. This is a horrendous nonparametrics text. Get a copy of Siegel instead.
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