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Multivariate Analysis

Buch | Hardcover
320 Seiten
1994
Hodder Arnold (Verlag)
978-0-340-59326-4 (ISBN)
CHF 108,15 inkl. MwSt
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Multivariate analysis is a common and important statistical technique used whenever more than one characteristic is observed on each individual entity being studied. This two-volume work provides comprehensive coverage of the available techniques for analyzing data in this form.
This first volume of a two part work on multivariate analysis concentrates on what might be termed the 'basic' techniques: topics covered range from initial inspection and graphical display of multivariate data through informal data-based methods such as principal components, canonical variates and multi-dimensional scaling, to inferential procedures such as two-sample hypothesis tests and the multivariate general linear model. The latter procedures are based on the multivariate normal distribution, so a comprehensive chapter on distribution theory lays the necessary foundations. Whilst full technical details are supplied, the emphasis throughout is on providing a readble and 'user-friendly' presentation.

Multivariate distributions; initial data analysis; projections and linear transformations; distance methods and ordination; inference - estimation and hypothesis testing; multivariate linear models; nonlinear models; appendix - normal theory sampling distributions.

Erscheint lt. Verlag 2.6.1994
Reihe/Serie Kendall's Library of Statistics ; v. 1
Zusatzinfo bibliography, index
Verlagsort London
Sprache englisch
Maße 160 x 240 mm
Gewicht 626 g
Themenwelt Mathematik / Informatik Mathematik Angewandte Mathematik
ISBN-10 0-340-59326-1 / 0340593261
ISBN-13 978-0-340-59326-4 / 9780340593264
Zustand Neuware
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