A Guide to Chi-Squared Testing (Wiley Series in Probability and Statistics) Hardback - 0000 - 1st Edition
by Greenwood, Priscilla E
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Details
- Title A Guide to Chi-Squared Testing (Wiley Series in Probability and Statistics)
- Author Greenwood, Priscilla E
- Binding Hardback
- Edition number 1st
- Edition 1
- Condition Used: Good
- Pages 304
- Volumes 1
- Language ENG
- Publisher Wiley, New York
- Publication date 0000-00-00
- Features Bibliography, Index
- Bookseller's Inventory # SONG047155779X
- ISBN 9780471557791 / 047155779X
- Weight 1.3 lbs (0.59 kg)
- Dimensions 9.57 x 6.46 x 0.8 in (24.31 x 16.41 x 2.03 cm)
- Size 6.38x0.79x9.57
- Category Mathematics
- Library of Congress subjects Chi-square test
- Library of Congress Catalogue Number 95-52754
- Dewey Decimal Code 519.56
- Quantity available 1
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From the publisher
From the rear cover
Chi-squared testing is one of the most commonly applied statistical techniques. It provides reliable answers for researchers in a wide range of fields, including engineering, manufacturing, finance, agriculture, and medicine.
A Guide to Chi-Squared Testing brings readers up to date on recent innovations and important material previously published only in the former Soviet Union. Its clear, concise treatment and practical advice make this an ideal reference for all researchers and consultants.
Authors Priscilla E. Greenwood and Mikhail S. Nikulin demonstrate the application of these general purpose tests in a wide variety of specific settings. They also
- Detail the various decisions to be made when applying Chi-squared tests to real data, and the proper application of these tests in standard hypothesis-testing situations
- Describe how Chi-squared type tests allow statisticians to construct a test statistic whose distribution is asymptotically Chi-squared, and to compute power against various alternatives
- Devote half of the book to examples of Chi-squared tests that can be easily adapted to situations not covered in the book
- Provide a self-contained, accessible treatment of the mathematical requisites
- Include an extensive bibliography and suggestions for further reading