A New Flexible Three-Parameter Model: Properties, Clayton Copula, and Modeling Real Data

被引:33
作者
Al-babtain, Abdulhakim A. [1 ]
Elbatal, I. [2 ,3 ]
Yousof, Haitham M. [4 ]
机构
[1] King Saud Univ, Dept Stat & Operat Res, Riyadh 11362, Saudi Arabia
[2] Imam Muhammad ibn Saud Islamic Univ, Coll Sci, Dept Math & Stat, Riyadh 11432, Saudi Arabia
[3] Cairo Univ, Fac Grad Studies Stat Res, Dept Math Stat, Banha 13513, Egypt
[4] Benha Univ, Dept Stat Math & Insurance, Banha 13513, Egypt
来源
SYMMETRY-BASEL | 2020年 / 12卷 / 03期
关键词
Marshall-Olkin; binomial exponential-2; moments; clayton copula; morgenstern family; maximum likelihood estimation; GENERAL EXPONENTIAL CLASS; G FAMILY; DISTRIBUTIONS THEORY; FRECHET DISTRIBUTION;
D O I
10.3390/sym12030440
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
In this article, we introduced a new extension of the binomial-exponential 2 distribution. We discussed some of its structural mathematical properties. Asimple type Copula-based construction is also presented to construct the bivariate- and multivariate-type distributions. We estimated the model parameters via the maximum likelihood method. Finally, we illustrated the importance of the new model by the study of two real data applications to show the flexibility and potentiality of the new model in modeling skewed and symmetric data sets.
引用
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页数:17
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