Estimating Parameters of Logarithmic-Normal Distributions by Maximum Likelihood
作者： A. C. Cohen
DOI: 10.1080/01621459.1951.10500781
关键词: Estimating equations 、 Normal distribution 、 Expectation–maximization algorithm 、 Likelihood function 、 Mathematics 、 Restricted maximum likelihood 、 Generalized normal distribution 、 Estimation theory 、 Applied mathematics 、 Matrix normal distribution 、 Statistics
摘要: Abstract This paper is concerned with the three-parameter logarithmic normal distribution; i.e., general distribution in which terminus unknown. Maximum likelihood equations for estimating population parameters from random samples are derived, and an iterative method their solution outlined. Variances covariances of these estimates obtained information matrix. An illustrative example included.
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