Nonconvergence, Improper Solutions, and Starting Values in Lisrel Maximum Likelihood Estimation

1985/06/01 by Anne Boomsma · 8 citations
Mathematics · #Advanced Statistical Methods and Models #Statistical Methods and Inference #Statistical Methods and Bayesian Inference

paper · doi:10.1007/bf02294248

Abstract

In the framework of a robustness study on maximum likelihood estimation with LISREL three types of problems are dealt with: nonconvergence, improper solutions, and choice of starting values. The purpose of the paper is to illustrate why and to what extent these problems are of importance for users of LISREL. The ways in which these issues may affect the design and conclusions of robustness research is also discussed.

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