The odd log-logistic Lindley Poisson model for lifetime data
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, cilt.46, sa.8, ss.6513-6537, 2017 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 46 Sayı: 8
- Basım Tarihi: 2017
- Doi Numarası: 10.1080/03610918.2016.1206931
- Dergi Adı: COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
- Sayfa Sayıları: ss.6513-6537
- Anahtar Kelimeler: Censored data, Lifetime data, Lindley distribution, Maximum likelihood, Odd distribution, Regression models, WEIBULL REGRESSION-MODEL, BAYESIAN-ANALYSIS, CURE, DISTRIBUTIONS, FAMILIES, PREDICT
- Hacettepe Üniversitesi Adresli: Evet
Özet
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.