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ON ESTIMATING PARAMETERS FOR BETA DISTRIBUTIONS
Author(s) -
Kottas John F.,
Lau HonShiang
Publication year - 1978
Publication title -
decision sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.238
H-Index - 108
eISSN - 1540-5915
pISSN - 0011-7315
DOI - 10.1111/j.1540-5915.1978.tb00742.x
Subject(s) - maximum likelihood , perspective (graphical) , beta distribution , beta (programming language) , method of moments (probability theory) , computer science , econometrics , statistics , mathematics , artificial intelligence , estimator , programming language
The purpose of this paper is to comment on and give historical perspective to two methdologies for estimating parameters of beta distributions. Fielitz and Myers [3] [4] developed and advocated a methodology using the method of moments, while Romesburg [20] advocated a methodology usingthe method of maximum likelihood. However, what Fielitz and Myers presented as new research and suggested as an area needing further study is ground already trampled. The authors have prepared a graph to underline the superiority of the maximum likelihood method in fitting beta distributions.