A note on convergence requirements for nonlinear maximum-likelihood estimation of parameters from mixture models |
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| Authors: | Carl M. Harris Jay Mandelbaum |
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| Affiliation: | School of Engineering and Applied Science, Department of Systems Engineering, University of Virginia, Thornton Hall, Charlottesville, VA 22901, U.S.A.;United States Department of Defense, Washington, D.C., U.S.A. |
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| Abstract: | Modifications are offered for some algorithms previously established by the authors 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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