
Applied Multivariate Statistics with SAS Software
Wiley (Publisher)
2nd Edition
Published on 26. March 1999
Book
Paperback/Softback
368 pages
978-0-471-32299-3 (ISBN)
Description
Real-world problems and data sets are the backbone of this groundbreaking book. Applied Multivariate Statistics with SAS (R) Software, Second Edition provides a unique approach to this topic, integrating statistical methods, data analysis, and applications. Now extensively revised, the book includes new information on
* mixed effects models
* applications of the MIXED procedure
* regression diagnostics with the correspoding IML procedure code
* covariance structures.
The authors' approach to the information aids professors, researchers, and students in a variety of disciplines and industries. Extensive SAS code and the corresponding output accompany sample problems, and clear explanations of the various SAS procedures are included. Emphasis is on correct interpretation of the output to draw meaningful conclusions. Featuring both the theoretical and the practical, topics covered include multivariate analysis of experimental data and repeated measures data, graphical representation of data including biplots, and multivariate regression. In addition, a quick introduction to the IML procedure with special reference to multivariate data is available in an appendix. SAS programs and output integrated with the text make it easy to read and follow the examples. High-resolution graphs have been used in this new edition.
* mixed effects models
* applications of the MIXED procedure
* regression diagnostics with the correspoding IML procedure code
* covariance structures.
The authors' approach to the information aids professors, researchers, and students in a variety of disciplines and industries. Extensive SAS code and the corresponding output accompany sample problems, and clear explanations of the various SAS procedures are included. Emphasis is on correct interpretation of the output to draw meaningful conclusions. Featuring both the theoretical and the practical, topics covered include multivariate analysis of experimental data and repeated measures data, graphical representation of data including biplots, and multivariate regression. In addition, a quick introduction to the IML procedure with special reference to multivariate data is available in an appendix. SAS programs and output integrated with the text make it easy to read and follow the examples. High-resolution graphs have been used in this new edition.
More details
Edition
2nd edition
Language
English
Place of publication
New York
United States
Target group
College/higher education
Professional and scholarly
Edition type
New edition
Product notice
Paperback (trade)
Unsewn / adhesive bound
Dimensions
Height: 280 mm
Width: 210 mm
Thickness: 20 mm
Weight
890 gr
ISBN-13
978-0-471-32299-3 (9780471322993)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
Ravindra Khattree is an Indian-American statistician and professor of statistics at Oakland University. His contribution to the Fountain-Khattree-Peddada Theorem in Pitman measure of closeness is one of the important results of his work. Khattree is the coauthor of two books and has coedited two volumes. Dayanand N. Naik is the author of Applied Multivariate Statistics with SAS Software, 2nd Edition, published by Wiley.
Content
Multivariate Analysis Concepts.
Graphical Representation of Multivariate Data.
Multivariate Regression.
Multivariate Analysis of Experimental Data.
Analysis of Repeated Measures Data.
Analysis of Repeated Measures Using Mixed Models.
References.
Appendices.
Index.
Graphical Representation of Multivariate Data.
Multivariate Regression.
Multivariate Analysis of Experimental Data.
Analysis of Repeated Measures Data.
Analysis of Repeated Measures Using Mixed Models.
References.
Appendices.
Index.