Key points are not available for this paper at this time.
Abstract This paper is concerned with the three-parameter logarithmic normal distribution; i.e., the general distribution in which the terminus is unknown. Maximum likelihood equations for estimating population parameters from random samples are derived, and an iterative method for their solution is outlined. Variances and covariances of these estimates are obtained from the information matrix. An illustrative example is included.
Arthur Cohen (Fri,) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: