A Note on the Investigation of Local and Global Identifiability
- 1 March 1982
- journal article
- Published by Cambridge University Press (CUP) in Psychometrika
- Vol. 47 (1) , 101-103
- https://doi.org/10.1007/bf02293855
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
This publication has 3 references indexed in Scilit:
- Linear Structural Equations with Latent VariablesPsychometrika, 1980
- A Monte Carlo study of local identifiability and degrees of freedom in the asymptotic likelihood ratio testBritish Journal of Mathematical and Statistical Psychology, 1979
- A note on local identifiability and degrees of freedom in the asymptotic likelihood ratio testBritish Journal of Mathematical and Statistical Psychology, 1977