期刊名称:Pakistan Journal of Statistics and Operation Research
印刷版ISSN:2220-5810
出版年度:2022
卷号:18
期号:1
页码:249-272
DOI:10.18187/pjsor.v18i1.3930
语种:English
出版社:College of Statistical and Actuarial Sciences
摘要:In this article, we introduce a new generalization of the Exponentiated Exponential distribution. Various structural mathematical properties are derived. Numerical analysis for mean, variance, skewness and kurtosis and the dispersion index are performed. The new density can be right skewed and symmetric with "unimodal" and "bimodal" shapes. The new hazard function can be "constant", "monotonically decreasing", " monotonically increasing", "increasing-constantâ€, “upside-down-constant", "decreasing-constant". Many bivariate and multivariate type model have been also derived. We assess the performance of the maximum likelihood method graphically via the biases and mean squared errors. The applicability of the new life distribution is illustrated by means of two real data sets.
关键词:Exponentiated Exponential;
Morgenstern family;
Clayton Copula;
Real Data Modeling;
Hazard Function