Estimation of the system reliability for generalized inverse Lindley distribution based on different sampling designs
Yükleniyor...
Dosyalar
Tarih
2019
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Taylor & Francis Inc
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In this paper, we are interested in estimating stress-strength reliability when the distributions of stress and strength are independent generalized inverse Lindley (GIL) under different sampling designs, namely, simple random sampling (SRS), ranked set sampling (RSS) and percentile ranked set sampling (PRSS). In the context of parameter estimation, we use maximum likelihood (ML) methodology. The performance of the ML estimators of stress-strength reliability based on SRS, RSS and PRSS are compared via a Monte-Carlo simulation study for different parameter settings and sample sizes under the assumptions of perfect and imperfect ranking, respectively. At the end of the study, the insulin resistance data set is analyzed to implement the proposed methodologies.
Açıklama
Anahtar Kelimeler
Stress-strength reliability, Sampling designs, Maximum likelihood, Imperfect ranking, Efficiency
Kaynak
Communications in Statistics - Theory and Methods
WoS Q Değeri
Q4
Scopus Q Değeri
Q2
Cilt
50
Sayı
7
Künye
Akgül, F. G., Yu, K., Şenoğlu B. (2020). Estimation of thesystem reliability for generalized inverse Lindley distribution based on different sampling designs,Communications in Statistics - Theory and Methods, DOI: 10.1080/03610926.2019.1705977
