Computational Statistics

An Introduction to R
1. Auflage 2009
ISBN: 978-1-4200-8678-2
Verlag: Chapman and Hall/CRC

Buch, Englisch, 274 Seiten, Format (B × H): 161 mm x 240 mm, Gewicht: 578 g

Suitable for a compact course or self-study, Computational Statistics: An Introduction to R illustrates how to use the freely available R software package for data analysis, statistical programming, and graphics. Integrating R code and examples throughout, the text only requires basic knowledge of statistics and computing.

This introduction covers one-sample analysis and distribution diagnostics, regression, two-sample problems and comparison of distributions, and multivariate analysis. It uses a range of examples to demonstrate how R can be employed to tackle statistical problems. In addition, the handy appendix includes a collection of R language elements and functions, serving as a quick reference and starting point to access the rich information that comes bundled with R.

Accessible to a broad audience, this book explores key topics in data analysis, regression, statistical distributions, and multivariate statistics. Full of examples and with a color insert, it helps readers become familiar with R.

Zielgruppe

Undergraduate

Autoren/Hrsg.

Sawitzki, Günther

Fachgebiete

• Mathematik | Informatik Mathematik Stochastik Wahrscheinlichkeitsrechnung
• Mathematik | Informatik Mathematik Stochastik Mathematische Statistik

Inhaltsverzeichnis

Introduction. Basic Data Analysis. Regression. Comparisons. Dimensions 1, 2, 3, …, infinity. R as a Programming Language and Environment. References. Functions and Variables by Topic. Function and Variable Index. Subject Index.

Über Autor(innen)

Gunther Sawitzki (Author)