Estimating system reliability of competing weibull failures with censored sampling
Yükleniyor...
Tarih
2009
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Selcuk University Research Center of Applied Mathematics
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
In this paper, we consider the estimation of R=P(Y<X) where X and Y have two independent Weibull distributions with different scale parameters and the same shape parameter. We used different methods for estimating R. Assuming that the common shape parameter is known, the maximum likelihood, uniformly minimum variance unbiased and Bayes estimators for R are obtained based on type-II right censored sample. Monte Carlo simulations are performed to compare the different estimators.
Açıklama
URL: http://sjam.selcuk.edu.tr/sjam/article/view/235
Anahtar Kelimeler
Stress-strength model, Maximum likelihood estimator, Unbiasedness, Consistency, Uniformly minimum variance unbiased estimator, Bayesian estimator, Type II censoring, Stres mukavemeti modeli, Maksimum olabilirlik tahmin, Yansızlık, Tutarlılık, Düzgün olarak minimum varyans yansız tahmin edici, Bayes tahmincisi, Tip II sansürleme
Kaynak
Selcuk Journal of Applied Mathematics
WoS Q Değeri
Scopus Q Değeri
Cilt
10
Sayı
Künye
Abd-Elfattah, A. M., Mohamed, M. O. (2009). Estimating system reliability of competing weibull failures with censored sampling. Selcuk Journal of Applied Mathematics, 10 (2), 53-65.
