Parameter Estimation of the Negative Binomial-New Weighted Lindley Distribution by the Method of Maximum Likelihood

被引：2

作者：

Thongteeraparp, Ampai ^{[1
]}

Volodin, A. ^{[2
]}

机构：

[1] Kasetsart Univ, Dept Stat, Bangkok 10903, Thailand

[2] Univ Regina, Dept Math & Stat, Regina, SK S4S 0A2, Canada

来源：

LOBACHEVSKII JOURNAL OF MATHEMATICS | 2020年 / 41卷 / 03期

关键词：

method of maximum likelihood; count data analysis; negative binomial-new weighted Lindley distribution;

D O I：

10.1134/S1995080220030178

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

In this article we investigate the parameter estimation of the Negative Binomial-New Weighted Lindley distribution. We are interested in the maximum likelihood method because it provides estimators with many superior properties, such as minimum variance and asymptotically unbiased estimators. The simulation study is performed in order to investigate the accuracy of the maximum likelihood estimators of the parameters of the Negative Binomial-New Weighted Lindley distribution.

引用

页码：430 / 434

页数：5

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