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A Note on the Investigation of Local and Global Identifiability

Published online by Cambridge University Press:  01 January 2025

Roderick P. McDonald
Roderick P. McDonald*
Affiliation:
Macquarie University
*
Requests for reprints should be sent to R. P. McDonald, School of Education, Macquarie University, North Ryde, N.S.W. 2113, Australia.
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Abstract

In general, nonlinear models such as those commonly employed for the analysis of covariance structures, are not globally identifiable. Any investigation of local identifiability must either yield a mapping of identifiability onto the entire parameter space, which will rarely be feasible in any applications of interest, or confine itself to the neighbourhood of such points of special interest as the maximum likelihood point.

Keywords

nonlinear modelscovariance structureslocal identifiabilityglobal identifiability
Type
Notes and Comments
Information
Psychometrika , Volume 47 , Issue 1 , March 1982 , pp. 101 - 103
Copyright
Copyright © 1982 The Psychometric Society

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Footnotes

The author would like to thank J. Jack McArdle and Colin Fraser for their comments on this paper.

References

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