Lognormal Distribution Maximum-Likelihood Parameter Estimation Algorithms.

reportActive / Technical Report | Accession Number: ADA207586 | Open PDF

Abstract:

Microcomputer-based algorithms for lognormal distribution parameter estimation are presented. A program diskette will be made available upon request. For given data, the parameters three or two are estimated 1 by means of the moments, and 2 by means of the maximum-likelihood principle. Maximum-likelihood estimation is done in two different ways 1 by means of the derivative equations which result from the logarithmic likelihood function, and 2 by means of direct optimization of the logarithmic likelihood function itself. Moment estimates are used as starting values for the optimization process. Author.

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