In Stock
Statistical hypothesis testing with SAS and R
Hardback
€108.68
Collect 326 Reward Points
- Free Delivery from
- This Book Is Available Online Only
- Book Synopsis
- A comprehensive guide to statistical hypothesis testing with examples in SAS and R When analyzing datasets the following questions often arise: Is there a short hand procedure for a statistical test available in SAS or R? If so, how do I use it? If not, how do I program the test myself? This book answers these questions and provides an overview of the most common statistical test problems in a comprehensive way, making it easy to find and perform an appropriate statistical test. A general summary of statistical test theory is presented, along with a basic description for each test, including the necessary prerequisites, assumptions, the formal test problem and the test statistic. Examples in both SAS and R are provided, along with program code to perform the test, resulting output and remarks explaining the necessary program parameters. Key features: Provides examples in both SAS and R for each test presented. Looks at the most common statistical tests, displayed in a clear and easy to follow way. Supported by a supplementary website http://www.d-taeger.de featuring example program code. Academics, practitioners and SAS and R programmers will find this book a valuable resource. Students using SAS and R will also find it an excellent choice for reference and data analysis.
- About The Author
- 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
- Product Details
-
- ISBN
- 9781119950219
- Format
- Hardback
- Publisher
- John Wiley & Sons, Inc., (12 March 2014)
- Number of Pages
- 312
- Weight
- 625.97 grams
- Language
- English
- Dimensions
- 251.5 x 177.8 x 20.3 mm
- Categories: