S-PLUS Programming Language and Applied Statistics: S-PLUS: Basics, Concepts, and Statistical Methods

Samir Safi

ISBN 10: 3639147901 / ISBN 13: 9783639147902

Published by VDM Verlag 2009-04-22, 2009

About this Item

Seller Inventory # 6666-IUK-9783639147902

Bibliographic Details

• Title: S-PLUS Programming Language and Applied Statistics: S-PLUS: Basics, Concepts, and Statistical Methods
• Publisher: VDM Verlag 2009-04-22
• Publication Date: 2009
• Language: English
• ISBN 10: 3639147901
• ISBN 13: 9783639147902
• Binding: Paperback
• Condition: New

About this title

Synopsis

In learning and teaching statistics, how often do we wish for a book with the right balance between theory and applications? How often have we wondered whether it is possible to devise a textbook equally well suited to classroom use and individual study? Now we have a solution for those who want all of this in a book that treats the powerful S-PLUS software in an elegant and effective manner. In S-PLUS Programming Language and Applied Statistics, Samir Safi introduces the language, the most common techniques, and abundant applications. The profusion of examples and exercises make the book an excellent source as a course text book or as a guide to self-study. After introducing the basic concepts of S-PLUS, Safi shows how to use the software for the statistical techniques ordinarily encountered in conventional applications. The explanations are supplemented by ample illustrations of how to use S-PLUS in particular settings. The last chapters on writing functions and simulation are beyond what is covered in many one-semester methods courses, but are very useful for anyone who needs to use more sophisticated techniques. Dr. Mary Gray

About the Author

Dr. Samir Safi got his PhD in Statistics, 2004 from the American University in Washington, DC, USA. He has authored several statistics research papers in the area of time series analysis. He has worked on comparing estimators in regression models with auto-correlated errors and studied when Ordinary Least Squares (OLS) is efficient.