Applied multivariate statistics with SAS software

著者

    • Khattree, Ravindra
    • Naik, Dayanand N.

書誌事項

Applied multivariate statistics with SAS software

Ravindra Khattree & Dayanand N. Naik

SAS Institute, c1999

2nd ed

  • : SAS
  • : John Wiley

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注記

Includes bibliographical references (p. 299-303) and index

内容説明・目次

内容説明

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.

目次

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.

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