A NON-NEGATIVE INTEGER-VALUED MODEL: ESTIMATION, COUNT REGRESSION AND PRACTICAL EXAMPLES

被引:0
|
作者
Bakouch, Hassan S. [1 ,2 ]
Karakaya, Kadir [3 ]
Chesneau, Christophe [4 ]
Akdogan, Yunus [3 ]
机构
[1] Tanta Univ, Fac Sci, Dept Math, Tanta, Egypt
[2] Qassim Univ, Coll Sci, Dept Math, Buraydah, Saudi Arabia
[3] Selcuk Univ, Fac Sci, Dept Stat, Konya, Turkey
[4] Univ Caen, LMNO, Campus 2,Sci 3, Caen, France
关键词
Poisson-Lindley distribution; Estimation; Data analysis; Count regression;
D O I
10.2298/AADM210114029B
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
In this study, we propose a non-negative integer-valued model based on the sum of Poisson-Lindley and geometric distributions. We show that it corresponds to the weighted geometric distribution and also a special mixture of two negative binomial distributions with certain parameters. The main statistical properties of the new distribution are studied comprehensively, including estimation of the model parameter. A new count regression analysis is introduced by using the new distribution. Finally, we provide some applications on practical data sets.
引用
收藏
页码:467 / 484
页数:18
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