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Published in collaboration with SASa major software publisher known for its well-designed and widely used programs and documentationthis book demonstrates the use of SAS software to analyze and correctly interpret a variety of real-world problems. It focuses on the practice and theory of multivariate (MV) statistical methods, offering a unique, integrated approach to methods, data analysis, and applications in diverse professions and industries. This new edition adds a number of new applications, updates existing material, and offers major repositioning of output commands separated from the main body of the text.
List of contents
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.
About the author
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.
