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.
383-390
Skinner, C.J.
48081d82-c596-436e-8846-c9d0a1bf158d
September 1984
Skinner, C.J.
48081d82-c596-436e-8846-c9d0a1bf158d
Skinner, C.J.
(1984)
On the geometric approach to multivariate selection.
Psychometrika, 49 (3), .
(doi:10.1007/BF02306027).
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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C.J. Skinner
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