期刊名称:Pakistan Journal of Statistics and Operation Research
印刷版ISSN:2220-5810
出版年度:2020
卷号:16
期号:4
页码:697-711
DOI:10.18187/pjsor.v16i4.3260
语种:English
出版社:College of Statistical and Actuarial Sciences
摘要:A new generalization of Lomax distribution is derived and studied. Some of its useful properties are derived. A simple clayton copula is used to generate many bivariate and multivariate type models. We performed graphical simulations to assess the finite sample behavior of the estimations. The new model is employed in modelling three real data sets.
关键词:Lomax Distribution;Copula Kaplan-Meier;Maximum Likelihood;Simulation;Modeling;Applications;Real Data