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Rencher this textbook extends univariate procedures with one dependent variable to analogous multivariate techniques involving several dependent variables, and finds functions of variables that discriminate among groups in the data and that reveal the basic dimensionality and characteristic patterns of. Aug 01, 2014 for more information about wiley products, visit our web site at library of congress cataloginginpublication data. As a example of such an analysis consider the analysis reported by. Download for offline reading, highlight, bookmark or take notes while you read methods of multivariate analysis. Methods of multivariate analysis 3rd edition by alvin c. Praise for the second editionthis book is a systematic, wellwritten, well organized text on multivariate analysis packed with intuition and insight.
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Methods of multivariate analysis wiley series in probability. Methods of multivariate analysis third edition authors. To illustrate multivariate applications, the author providesexamples and exercises based on fiftynine real data sets from awide variety of scientific fields. One can expand this analysis into 3 dimensional space and beyond, but the loglinear model covered in chapter 17 of howell is usually used for such multivariate analysis of categorical data. Rencher, phd, is professor of statistics at brigham young university and a fellow of the american statistical association. When measuring several variables on a complex experimental unit, it is often necessary to analyze the variables simultaneously, rather than isolate them and consider them.
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