Applied Multivariate Statistics With Sas Software

Author: Ravindra Khattree
Editor: Wiley-SAS
ISBN: 9780471322993
File Size: 26,60 MB
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Real-world problems and data sets are the backbone of this groundbreaking book. Applied Multivariate Statistics with SAS® 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.
Applied Multivariate Statistics with SAS Software
Language: en
Pages: 360
Authors: Ravindra Khattree, Dayanand N. Naik
Categories: Mathematics
Type: BOOK - Published: 1999-04-09 - Publisher: Wiley-SAS

Real-world problems and data sets are the backbone of this groundbreaking book. Applied Multivariate Statistics with SAS® 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
Applied Multivariate Statistics With SAS Software, Second Edition + Multivariate Data Reduction and Discrimination with SAS Software Set
Language: en
Pages: 944
Authors: Ravindra Khattree, Dayanand N. Naik
Categories: Mathematics
Type: BOOK - Published: 2008-03-14 - Publisher: Wiley-Interscience

This set contains 9780471322993 Applied Multivariate Statistics with SAS? Software, 2nd Edition and 9780471323006 Multivariate Data Reduction and Discrimination with SAS? Software both by Ravindra Khattree and Dayanand N. Naik.
Multivariate Data Reduction and Discrimination with SAS Software
Language: en
Pages: 584
Authors: Ravindra Khattree, Dayanand N. Naik
Categories: Mathematics
Type: BOOK - Published: 2000-08-14 - Publisher: Wiley-SAS

Easy to read and comprehensive, this book presents descriptive multivariate (DMV) statistical methods using real-world problems and data sets. It offers a unique approach to integrating statistical methods, various kinds of advanced data analyses, and applications of the popular SAS software aids. Emphasis is placed on the correct interpretation of
Applied Multivariate Statistics with SAS® Software, Second Edition
Language: en
Pages: 368
Authors: Ravindra Khattree, Dayanand N. Naik
Categories: Computers
Type: BOOK - Published: 2018-07 - Publisher:

Real-world problems and data sets are the backbone of Ravindra Khattree and Dayanand Naik's Applied Multivariate Statistics with SAS Software, Second Edition, which provides a unique approach to the topic, integrating statistical methods, data analysis, and applications. Now extensively revised, the book includes new information about mixed effects models, applications
Applied Multivariate Analysis
Language: en
Pages: 695
Authors: Neil H. Timm
Categories: Mathematics
Type: BOOK - Published: 2007-06-21 - Publisher: Springer Science & Business Media

This book provides a broad overview of the basic theory and methods of applied multivariate analysis. The presentation integrates both theory and practice including both the analysis of formal linear multivariate models and exploratory data analysis techniques. Each chapter contains the development of basic theoretical results with numerous applications illustrated