Inferences on stress-strength reliability based on ranked set sampling data in case of Lindley distribution
Yükleniyor...
Dosyalar
Tarih
2018
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Taylor & Francis Inc
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In this study, we consider point and interval estimation of stress-strength reliability R = P(X < Y) based on ranked set sampling when the distribution of the stress and the strength are both Lindley. Firstly, maximum likelihood (ML) estimator of R is obtained. Then, we find asymptotic distribution of ML estimator of R to construct the asymptotic confidence interval. Furthermore, bootstrap confidence intervals of R are constructed using two different resampling methods. The performances of proposed methods are compared with their simple random sampling counterparts via an extensive Monte-Carlo simulation study. At the end of the study, a real data set is analysed for illustrative purposes.
Açıklama
Anahtar Kelimeler
Stress-strength reliability, Ranked set sampling, Lindley distribution, Estimation, Monte-Carlo simulation
Kaynak
Journal of Statistical Computation and Simulation
WoS Q Değeri
N/A
Scopus Q Değeri
Q2
Cilt
88
Sayı
15
Künye
Akgül, F. G., Acıtaş, Ş., & Şenoğlu, B. (2018). Inferences on stress–strength reliability based on ranked set sampling data in case of Lindley distribution. Journal of Statistical Computation and Simulation, 88(15), 3018-3032.
