Computational Statistics

Discover the essential resource for mastering data analysis with "Computational Statistics" by Günther Sawitzki. Published by Taylor & Francis Ltd in 2009, this comprehensive hardback edition spans 274 pages, making it perfect for both compact courses and self-study. This book provides a practical guide to utilizing the R software package for statistical programming and graphics.

Delve into a variety of topics including one-sample analysis, distribution diagnostics, regression techniques, two-sample problems, and comparison of distributions. Additionally, it explores multivariate analysis, equipping readers with the skills needed to tackle complex data challenges. Whether you're a student or a professional looking to enhance your statistical knowledge, "Computational Statistics" is an invaluable addition to your library.