Suitable Algorithm Associated with a Parameterization for the Three-Parameter Log-Normal Distribution |
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Authors: | Yoshio Komori |
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Affiliation: | Department of Systems Design and Informatics, Kyushu Institute of Technology, Iizuka, Japan |
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Abstract: | Associated with a parameterization for the three-parameter lognormal distribution, an algorithm was proposed by Komori and Hirose, which can find a local maximum likelihood (ML) estimate surely if it exists. Nevertheless, by Vera and Díaz-García it was shown that performance in finding a local ML estimate deteriorated by adopting the parameterization only and using other algorithm. In the present article, it will be shown that Komori and Hirose’s algorithm should be used for the parameterization. This work will also give MATLAB codes as a useful tool for the parameter estimation of the distribution. |
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Keywords: | Bisection method Extended lognormal distribution Local maximum likelihood. |
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