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Multivariate Analysis, Part 1: Distributions, Ordination and Inference

Handbook / ManualOut of Print

Series: Kendall's Library of Statistics Volume: 1

By: WJ Krzanowski and FHC Marriott

280 pages, Figs, tabs

Hodder Arnold

Hardback | Dec 1994 | #105273 | ISBN: 0340593261
Out of Print Details

About this book

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.

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