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Statistical Hypothesis Testing With Sas And R (Cód: 9396791)

Taeger, Dirk; Kuhnt, Sonja

John Wiley & Sons

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Descrição

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. 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 fi nd this book a valuable resource. Students using SAS and R will also fi nd it an excellent choice for reference and data analysis.

Características

Produto sob encomenda Sim
Marca John Wiley & Sons
Cód. Barras 9781119950219
Altura 24.38 cm
I.S.B.N. 9781119950219
Profundidade 2.29 cm
Referência 024279943
Acabamento Capa dura
Ano da edição 2014
Idioma Inglês
Peso 0.64 Kg
Largura 17.53 cm
AutorTaeger, Dirk; Kuhnt, Sonja

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Statistical Hypothesis Testing With Sas And R (Cód: 9396791) Statistical Hypothesis Testing With Sas And R (Cód: 9396791)
R$ 1.864,20
Statistical Hypothesis Testing With Sas And R (Cód: 9396791) Statistical Hypothesis Testing With Sas And R (Cód: 9396791)
R$ 1.864,20