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On the geometric approach to multivariate selection

On the geometric approach to multivariate selection
On the geometric approach to multivariate selection
Multivariate selection can be represented as a linear transformation in a geometric framework. This approach has led to considerable simplification in the study of the effects of selection on factor analysis. In this note this approach is extended to describe the effects of selection on regression analysis and to adjust for the effects of selection using the inverse of the linear transformation.
0033-3123
383-390
Skinner, C.J.
48081d82-c596-436e-8846-c9d0a1bf158d
Skinner, C.J.
48081d82-c596-436e-8846-c9d0a1bf158d

Skinner, C.J. (1984) On the geometric approach to multivariate selection. Psychometrika, 49 (3), 383-390. (doi:10.1007/BF02306027).

Record type: Article

Abstract

Multivariate selection can be represented as a linear transformation in a geometric framework. This approach has led to considerable simplification in the study of the effects of selection on factor analysis. In this note this approach is extended to describe the effects of selection on regression analysis and to adjust for the effects of selection using the inverse of the linear transformation.

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Published date: September 1984

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Local EPrints ID: 34652
URI: http://eprints.soton.ac.uk/id/eprint/34652
ISSN: 0033-3123
PURE UUID: 867d672a-f3f9-4127-bf06-355c138dfc9c

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Date deposited: 23 Jan 2008
Last modified: 15 Mar 2024 07:48

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Author: C.J. Skinner

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