Statistical Hypothesis Testing with SAS and R (PDF)
(Sprache: Englisch)
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...
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...
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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 href="http://www.d-taeger.de/">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.
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 href="http://www.d-taeger.de/">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.
Autoren-Porträt von Dirk Taeger, Sonja Kuhnt
Dirk Taeger, Institute for Prevention and OccupationalMedicine 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
Bibliographische Angaben
- Autoren: Dirk Taeger , Sonja Kuhnt
- 2014, 1. Auflage, 312 Seiten, Englisch
- Verlag: John Wiley & Sons
- ISBN-10: 1118762606
- ISBN-13: 9781118762608
- Erscheinungsdatum: 07.01.2014
Abhängig von Bildschirmgrösse und eingestellter Schriftgrösse kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Grösse: 4.23 MB
- Mit Kopierschutz
Sprache:
Englisch
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