Leseprobe
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Statistical Hypothesis Testing with SAS and R
Dirk Taeger, Sonja Kuhnt
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Naturwissenschaften, Medizin, Informatik, Technik / Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik
Beschreibung
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.
Kundenbewertungen
Statistics, Statistical Software / SAS, Statistiksoftware / R, Rechnergestützte u. graphische Statistik, Statistical Software / R, Statistiksoftware / SAS, Computational & Graphical Statistics, Statistik