Abstract

In this article we introduce a new generalization of the skew t distribution based on the beta generalized distribution. The new class of distribution, which is called the beta skew t (BST), has the ability of fitting skewed and heavy-tailed data and is more general than the skew t distribution as it contains the skew t distribution as a special case. Related properties of the new distribution, such as moments and the order statistics, are derived. The proposed distribution is applied to real data to illustrate the fitting procedure using the maximum likelihood method and the L-moments method.

Full Text
Paper version not known

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 call

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.