Description - Multivariate Statistical Methods by George A. Marcoulides
An introductory text for students learning multivariate statistical methods for the first time, the intention of this book is to keep mathematical details to a minimum while conveying the basic principles of multivariate statistical methods. One of the principle didactic strategies used throughout the book - in addition to the presentation of actual data analyses - is pointing out the analogy between a common univariate statistical technique and the corresponding multivariate method. Many computer examples - drawing on SAS software only and thereby avoiding the possibility of confusion - are used as demonstrations. Throughout the book, the computer is used as an adjunct to the presentation of a multivariate statistical method in an empirically oriented approach. Basically, the model adopted in this book is to first present the theory of a multivariate statistical method along with the basic mathematical computations necessary for the analysis of data. Subsequently, a real world problem is discussed and an example data set is provided for analysis.
Throughout the presentation and discussion of a method, many references are made to the computer, output are explained, and exercises and examples with real data are included.
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