Applied Statistics Using SPSS, STATISTICA, MATLAB and R

Applied Statistics Using SPSS, STATISTICA, MATLAB and R
Автор
 
Год
 
Страниц
 
520
ISBN
 
ISBN10:3540719717
Издатель
 
Springer

Описание:

This practical reference provides a comprehensive introduction and tutorial on the main statistical analysis topics, demonstrating their solution with the most common software package. Intended for anyone needing to apply statistical analysis to a large variety of science and enigineering problems, the book explains and shows how to use SPSS, MATLAB, STATISTICA and R for analysis such as data description, statistical inference, classification and regression, factor analysis, survival data and directional statistics. It concisely explains key concepts and methods, illustrated by practical examples using real data, and includes a CD-ROM with software tools and data sets. Readers learn which software tools to apply and gain insights into the comparative capabilities of the primary software packages. Major improvements of the second edition are the inclusion of the R language, a new section on bootstrap estimation methods and an improved treatment of tree classifiers as well as extra examples and exercises.

Похожие книги

Pro Eclipse JST: Plug-ins for J2EE DevelopmentPro Eclipse JST: Plug-ins for J2EE Development
Автор: Judd Ch.M., Shittu H.
Год: 2005
Statistical Properties of Statistical MatchingStatistical Properties of Statistical Matching
Автор: Chris Moriarity
Год: 2010
Statistics and Probability for Engineering ApplicationsStatistics and Probability for Engineering Applications
Автор: William DeCoursey William DeCoursey Ph.D. is a chemical engineer who has taught statistics and probability to engineering students for over 15 years at the University of Saskatchewan.
Год: 2003