A note on convergence requirements for nonlinear maximum-likelihood estimation of parameters from mixture models (Q1082735)
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scientific article; zbMATH DE number 3974059
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | A note on convergence requirements for nonlinear maximum-likelihood estimation of parameters from mixture models |
scientific article; zbMATH DE number 3974059 |
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A note on convergence requirements for nonlinear maximum-likelihood estimation of parameters from mixture models (English)
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1985
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Modifications are offered for some algorithms previously established by the authors [Optimization in statistics, TIMS Stud. Manage. Sci. 19, 239- 260 (1982; Zbl 0532.62015)] for the maximum-likelihood estimation of the parameters of mixed exponential and Weibull distributions. The prior work assumed that the likelihood function was ''well behaved'' and that good starting points were available. We now provide enhancements of the methods to permit the handling of any alternative possibility.
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algorithms
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maximum-likelihood estimation
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mixed exponential and Weibull distributions
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0.8246381282806396
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0.7995402216911316
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0.7952922582626343
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