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Statistical hypothesis testing with SAS and R/ Dirk Taeger, Sonja Kuhnt

By: Contributor(s): Material type: TextTextPublication details: Chichester: John Wiley, 2014.Description: xiv, 292 pages; dig; 25 cmISBN:
  • 9781119950219
Subject(s): DDC classification:
  • SA.093 23rd. T123
Contents:
1. Statistical hypothesis testing -- 2. Tests on the mean -- 3. Tests on the variance -- 4. Tests on proportions -- 5. Poisson distribution -- 6. Exponential distribution -- 7. Tests on association -- 8. Tests on location -- 9. Tests on scale differences -- 10. Other tests -- 11. Tests on normality -- 12. Tests on other distributions -- 13. Tests on randomness -- 14. Tests on contingency tables -- 15. Tests on outliers -- 16. Tests in regression analysis -- 17. Tests in variance analysis
Summary: This book provides a reference guide to statistical tests and their application to data using SAS and R. A general summary of statistical test theory is presented, along with a general description for each test, together with necessary prerequisites, assumptions, and the formal test problem. The test statistic is stated together with annotations on its distribution, along with examples in both SAS and R. Each example contains the code to perform the test, the output, and remarks that explain necessary program parameters.
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Holdings
Item type Current library Call number Status Notes Date due Barcode Item holds
Books ISI Library, Kolkata SA.093 T123 (Browse shelf(Opens below)) Available Gifted by Prof. Ashis Kumar Chakraborty C27558
Books ISI Library, Kolkata SA.093 T123 (Browse shelf(Opens below)) Available 136201
Total holds: 0

Includes index

1. Statistical hypothesis testing --
2. Tests on the mean --
3. Tests on the variance --
4. Tests on proportions --
5. Poisson distribution --
6. Exponential distribution --
7. Tests on association --
8. Tests on location --
9. Tests on scale differences --
10. Other tests --
11. Tests on normality --
12. Tests on other distributions --
13. Tests on randomness --
14. Tests on contingency tables --
15. Tests on outliers --
16. Tests in regression analysis --
17. Tests in variance analysis

This book provides a reference guide to statistical tests and their application to data using SAS and R. A general summary of statistical test theory is presented, along with a general description for each test, together with necessary prerequisites, assumptions, and the formal test problem. The test statistic is stated together with annotations on its distribution, along with examples in both SAS and R. Each example contains the code to perform the test, the output, and remarks that explain necessary program parameters.

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