Distributions, ordination and inference
著者
書誌事項
Distributions, ordination and inference
（Kendall's library of statistics, 1 . Multivariate analysis ; pt. 1）
Edward Arnold , Halsted Press, 1994
- : Arnold
- : Halsted Press
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注記
Bibliography: p. [237]-266
Includes indexes
内容説明・目次
内容説明
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.
目次
- 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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