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.

By:

Taeger, Dirk

Contributor(s):

Kuhnt, Sonja [author.]

Material type:

TextPublication details: West Sussex : Wiley, 2014Description: 292 p : illISBN:

9781119950219
111995021X

Subject(s):

LOC classification:

QA277 T123 S 2014

Contents:

HKBU library

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"--Summary: "Presents a comprehensive guide to hypothesis testing using SAS and R"--

Item type:

English Books

Average rating: 0.0 (0 votes)

Holdings
Cover image	Item type	Current library	Home library	Collection	Shelving location	Call number	Materials specified	Vol info	URL	Copy number	Status	Notes	Date due	Barcode	Item holds	Item hold queue priority	Course reserves
	English Books	MATRIX Library General Eng/FL.3		General Books		QA277 T123 S 2014 (Browse shelf(Opens below))				C.1	Available			1000377934

Total holds: 0

HKBU library

YT2025 M10

"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"--

"Presents a comprehensive guide to hypothesis testing using SAS and R"--

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