Cover image for Statistical hypothesis testing with SAS and R / Dirk Taeger, Institute for Prevention and Occupational Medicine of the German Social Accident Insurance, Institute of the Ruhr-Universität Bochum (IPA), Bochum, Germany, Sonja Kuhnt, Department of Computer Science, Dortmund University of Applied Sciences and Arts, Dortmund, Germany.
Statistical hypothesis testing with SAS and R / Dirk Taeger, Institute for Prevention and Occupational Medicine of the German Social Accident Insurance, Institute of the Ruhr-Universität Bochum (IPA), Bochum, Germany, Sonja Kuhnt, Department of Computer Science, Dortmund University of Applied Sciences and Arts, Dortmund, Germany.
Title:
Statistical hypothesis testing with SAS and R / Dirk Taeger, Institute for Prevention and Occupational Medicine of the German Social Accident Insurance, Institute of the Ruhr-Universität Bochum (IPA), Bochum, Germany, Sonja Kuhnt, Department of Computer Science, Dortmund University of Applied Sciences and Arts, Dortmund, Germany.
Personal Author:
Publication:
Chichester, West Sussex : Wiley, 2014.
Publication Date:
2014
ISBN:
9781119950219
Bibliography Note:
Includes bibliographical references and index.
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.
Abstract:
"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"-- Provided by publisher.

"Presents a comprehensive guide to hypothesis testing using SAS and R"-- Provided by publisher.
Content Type:
text
Carrier Type:
volume
Added Author:
Language:
English
No. of Holds: