NONCONVERGENCE, IMPROPER SOLUTIONS, AND STARTING VALUES IN LISREL MAXIMUM-LIKELIHOOD ESTIMATION
NONCONVERGENCE, IMPROPER SOLUTIONS, AND STARTING VALUES IN LISREL MAXIMUM-LIKELIHOOD ESTIMATION
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DOI：
10.1007/bf02294248
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发表时间：
1985-01-01
期刊：
影响因子：
3
通讯作者：
BOOMSMA, A
中科院分区：
文献类型：
--
作者：
BOOMSMA, A
在LISREL极大似然估计的稳健性研究框架内，处理了三类问题：不收敛、不适当的解和起始值的选择。本文件的目的是说明这些问题对LISREL用户的重要性的原因和程度。文中还讨论了这些问题对稳健性研究的设计和结论的影响。
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.