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Generalized Exponential Truncated Negative Binomial Distribution
被引:0
|
作者
:
Jayakumar K.
论文数:
0
引用数:
0
h-index:
0
机构:
Department of Statistics, University of Calicut, Kerala
Department of Statistics, University of Calicut, Kerala
Jayakumar K.
[
1
]
Sankaran K.K.
论文数:
0
引用数:
0
h-index:
0
机构:
Department of Statistics, Sree Narayana College, Alathur, Kerala
Department of Statistics, University of Calicut, Kerala
Sankaran K.K.
[
2
]
机构
:
[1]
Department of Statistics, University of Calicut, Kerala
[2]
Department of Statistics, Sree Narayana College, Alathur, Kerala
来源
:
Sankaran, K.K. (snsankaran08@gmail.com)
|
2017年
/ Taylor and Francis Ltd.卷
/ 36期
关键词
:
Abstracting;
D O I
:
10.1080/01966324.2017.1295892
中图分类号
:
学科分类号
:
摘要
:
SYNOPTIC ABSTRACT: Nadarajah, Jayakumar, and Ristić (2013) introduced a family of life time models using truncated negative binomial distribution and derived some properties of the family of distributions. It is a generalization of Marshall–Olkin family of distributions. In this article, we introduce Generalized Exponential Truncated Negative Binomial (GETNB) distribution using the same approach. The GETNB distribution is a generalization of the Marshall–Olkin Generalized Exponential (MOGE) distribution studied in Ristić and Kundu (2015) and Exponential Truncated Negative Binomial (ETNB) distribution studied in Nadarajah et al. (2013). The shape properties of density function and the hazard rate of GETNB distribution are discussed. The expressions for moments, order statistics, and entropy are obtained. The parameters of GETNB distribution are estimated using the method of maximum likelihood. An application to a real data set is also presented. © 2017 Taylor & Francis Group, LLC.
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收藏
页码:98 / 111
页数:13
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