On robust algorithm for finding maximum likelihood estimation of the generalized inverse Gaussian distribution. (English) Zbl 1403.62033
Summary: In this paper, we propose robust numerical methods for finding the maximum likelihood estimation of the generalized inverse Gaussian distribution. A comparative analysis of the existing algorithms and the results of numerical experiments are presented. Special attention is paid to reproducibility of the tests.
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