Multivariate statistics : a practical approach / Bernhard Flury and Hans Riedwyl.

By: Flury, Bernhard, 1951-.

Contributor(s): Riedwyl, Hans .

Material type: materialTypeLabel

BookPublisher: London : Chapman and Hall, 1988Description: [200] p. : ill ; 23 cm.ISBN: 0412300206 ; 0412300303 .Subject(s): Multivariate analysis

DDC classification: 519.535

Contents:

The data -- Univariate plots and descriptive statistics -- Scatterplot, correlation and covariance -- Face plots -- Multiple linear regression -- Linear combinations -- Linear discriminant analysis for two groups -- Identification analysis -- Specification analysis -- Principal component analysis -- Comparing the covariance structures of two groups -- Exercises.

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Item type	Current library	Call number	Copy number	Status	Date due	Barcode	Item holds
General Lending	MTU Bishopstown Library Lending	519.535 (Browse shelf(Opens below))	1	Available		00037571
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Includes bibliographical references (pages 288-291) and index.

Translated from the German.

Reviews provided by Syndetics

CHOICE Review

This very readable book on multivariate statistics differs from most others dealing with the same topic in that there is very little emphasis on formal mathematics. Instead, the authors rely on the use of graphical techniques and numerical examples, most of which are based on one data set, to illustrate the methods with frequent references to the more conventional multivariate textbooks. Unfortunately, many of the scatter plots are marred by poor choices of symbols. The authors have avoided giving detailed instructions for using various commerical statistical packages in order to try to force readers to focus on the techniques being discussed rather than simply accept the output from some computer program. The raw data is available for the examples and the reader is encouraged to attempt the analyses. The level of difficulty is comparable to D. F. Morrison's Multivariate Statistical Methods (2nd ed., CH, Nov '76). Suitable for readers who have had at least one course in elementary statistics. F. Giesbrecht North Carolina State University