Multivariate statistical methods [Book] : a first course / George A. Marcoulides, Scott L. Hershberger.

By:

Marcoulides, George A

Contributor(s):

Hershberger, Scott L

Material type: Text

TextPublication details: Mahwah, N.J. : Lawrence Erlbaum Associates, 1997.Description: xi, 322 p. : ill. ; 24 cmISBN:

080582572X (pbk. : alk. paper)
0805825711 (alk. paper)
9780805825725

Subject(s):

DDC classification:

300.15195 21

Other classification:

300.15195

Summary: 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. .

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Holdings
Item type	Current library	Call number	Status	Date due	Barcode	Item holds
Books	Junaid Zaidi Library, COMSATS University Islamabad 2nd Floor	300.15195 MAR-M (Browse shelf(Opens below))	Available		46382

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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. .

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