The odd log-logistic Lindley Poisson model for lifetime data

被引:23
作者
Ozel, Gamze [1 ]
Alizadeh, Morad [2 ]
Cakmakyapan, Selen [1 ]
Hamedani, G. G. [3 ]
Ortega, Edwin M. M. [4 ]
Cancho, Vicente G. [5 ]
机构
[1] Hacettepe Univ, Dept Stat, Ankara, Turkey
[2] Persian Gulf Univ, Fac Sci, Dept Stat, Bushehr, Iran
[3] Marquette Univ, Dept Math Stat & Comp Sci, Milwaukee, WI 53233 USA
[4] Univ Sao Paulo, Dept Ciencias Exatas, Sao Paulo, Brazil
[5] Univ Sao Paulo, Dept Matemat Aplicada & Estat, Sao Paulo, Brazil
关键词
Censored data; Lifetime data; Lindley distribution; Maximum likelihood; Odd distribution; Regression models; WEIBULL REGRESSION-MODEL; BAYESIAN-ANALYSIS; CURE; DISTRIBUTIONS; FAMILIES; PREDICT;
D O I
10.1080/03610918.2016.1206931
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
We define two new lifetime models called the odd log-logistic Lindley (OLL-L) and odd log-logistic Lindley Poisson (OLL-LP) distributions with various hazard rate shapes such as increasing, decreasing, upside-down bathtub, and bathtub. Various structural properties are derived. Certain characterizations of OLL-L distribution are presented. The maximum likelihood estimators of the unknown parameters are obtained. We propose a flexible cure rate survival model by assuming that the number of competing causes of the event of interest has a Poisson distribution and the time to event has an OLL-L distribution. The applicability of the new models is illustrated by means real datasets.
引用
收藏
页码:6513 / 6537
页数:25
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