Statistical Hypothesis Testing with SAS and R
Idioma: inglés
Editorial: Wiley, 2014
- Tapa dura
- Nuevo

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Statistical Hypothesis Testing with SAS and R | Dirk Taeger (u. a.) | Buch | Preface xiiiPart I INTRODUCTION 11 Statistical hypothesis testing 31.1 Theory of statistical hypothesis testing 31.2 Testing statistical hypothesis with SAS and R 41.3 Presentation of the statistical tests 13References 15Part II NORMAL DISTRIBUTION 172 T | Englisch | 2014 | Wiley | EAN 9781119950219 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
N° de ref. del artículo 105420885
- Título
- Statistical Hypothesis Testing with SAS and R
- Autor
- Dirk Taeger (u. a.)
- Editorial
- Wiley
- Año de publicación
- 2014
- Estado
- Neu
- Encuadernación
- Buch
- Idioma
- inglés
- ISBN 10
- 111995021X
- ISBN 13
- 9781119950219
- Peso del artículo
- 635 gramos
- Dimensiones
- 244 x 175 x 23 mm
- Catálogos de vendedores
- Bücher
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.
“Sinopsis” puede pertenecer a otra edición de este título.
Acerca del autor
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
“Acerca de” puede pertenecer a otra edición de este título.
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Osnabrück, Alemania
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