Abstract
SYNOPTIC ABSTRACTIn a previous paper, the authors considered modifications of local maximum likelihood estimators for parameters of the three-parameter lognormal distribution which employ the first, second or third order statistic. This paper examines conditional maximum likelihood estimators which employ derivatives of the log-likelihood function with respect to scale and shape parameters plus the sample mean, variance or median. It also considers conditional moment estimators which use the sample mean, variance and median. Computational procedures are developed to facilitate the practical application of these estimators. Results of a simulation study provide insight concerning sampling behavior and permit comparisons with estimators given in the earlier paper.
Published Version
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: American Journal of Mathematical and Management Sciences
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
