Abstract
ABSTRACT The four-parameter beta distribution is non regular at both lower and upper endpoints in maximum likelihood estimation (MLE). The use of MLE is restricted only in a range of values of the shape parameters. The object of this article is to explore a way of estimating the parameters by placing priors to counteract the shortfalls inherent in the conventional likelihood. The priors are in a general form and therefore the proposed method is generally applicable. The estimators based on the modified likelihood are consistent with optimal rates of convergence.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
More From: Communications in Statistics - Simulation and Computation
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.