New methods to define heavy-tailed distributions with applications to insurance data

New methods to define heavy-tailed distributions with applications to insurance data

Heavy-tailed distributions play an important role in modelling data in actuarial and financial sciences. In this article, nine new methods are suggested to define new distributions suitable for modelling data with an heavy right tail. For illustrative purposes, a special sub-model is considered in d...

Full description

Bibliographic Details
Main Authors: Zubair Ahmad, Eisa Mahmoudi, G. G. Hamedani, Omid Kharazmi
Format: Article
Language:English
Published: Taylor & Francis Group 2020-01-01
Series:Journal of Taibah University for Science
Subjects:
weibull distribution
heavy-tailed distributions
characterizations
monte carlo simulation
actuarial measures
medical care insurance data
vehicle insurance data
bayesian estimation
Online Access:http://dx.doi.org/10.1080/16583655.2020.1741942

Internet

http://dx.doi.org/10.1080/16583655.2020.1741942

Similar Items