Octavo, vii, xi, 322 pages. In Very Good condition. Bound in the publisher's black cloth bearing white lettering to the spine. Boards show very slight wear including sunning to the fore edges. Former owner's slim label to the front and spine. Text block has light wear to the edges with sparse, minor marks to the edges. Previous owner's name to the front free end paper. Illustrated. First edition, first printing. NOTE: Shelved in Netdesk Column K, ND-K. 1380826. FP New Rockville Stock.

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Bibliographic Details

Title

MULTIVARIATE STATISTICAL METHODS: A FIRST COURSE

Publisher

Lawrence Erlbaum Associates, Publishers, Mahwah NJ

Publication Date

1997

Language

English

ISBN 10

0805825711

ISBN 13

9780805825718

Binding

Hardcover

Edition

First Edition, First Printing.

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About this title

Synopsis

Multivariate statistics refer to an assortment of statistical methods that have been developed to handle situations in which multiple variables or measures are involved. Any analysis of more than two variables or measures can loosely be considered a multivariate statistical analysis.

An introductory text for students learning multivariate statistical methods for the first time, this book keeps mathematical details to a minimum while conveying the basic principles. One of the principal 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 --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.

About the Author

Marcoulides, George A.; Hershberger, Scott L.

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