Name: Statistical Hypothesis Testing with SAS and R (en Inglés)
SKU: 39262468
Price: 106.51 USD
Availability: InStock
Author: Taeger, Dirk ; Kuhnt, Sonja
ISBN: 9781119950219

portada Statistical Hypothesis Testing with SAS and R (en Inglés)

Statistical Hypothesis Testing with SAS and R (en Inglés)

Formato

Libro Físico

Autor

Dirk Taeger

Sonja Kuhnt

Editorial

Wiley

Tema

Computational, Graphical Statistics

Idioma

Inglés

N° páginas

312

Encuadernación

Tapa Dura

Dimensiones

24.4x17.5x2.3 cm

Peso

0.64 kg.

ISBN

111995021X

ISBN13

9781119950219

Categorías

Probabilidad y estadística

Statistical Hypothesis Testing with SAS and R (en Inglés)

Dirk Taeger (Autor) · Sonja Kuhnt (Autor) · Wiley · Tapa Dura

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Reseña del libro "Statistical Hypothesis Testing with SAS and R (en Inglés)"

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.