Abstract
Being an important probability distribution with moderate skewness, the two-parameter gamma distribution is widely used in statistics. However, the maximum likelihood estimators (MLEs) of its parameters do not have closed forms, making them difficult to be implemented in applications. Moreover, the MLE of its shape parameter has low estimation efficiency due to its considerable bias. Thus, many other estimators have been investigated in the literature. We propose an easy computation of the MLEs in this article, where the MLE of the shape parameter is modified to be highly efficient and significantly better than most of existing estimators.
Sign-in/Register to access full text options 
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 callDisclaimer: 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.
