COMPARISON OF ESTIMATORS FOR STRESS-STRENGTH RELIABILITY IN THE GOMPERTZ CASE
Yükleniyor...
Tarih
2009
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
HACETTEPE UNIV, FAC SCI
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In this paper, the Bayesian and non Bayesian estimation problem of reliability, R = P(Y < X), will be considered when X and Y are two independent but not identically random variables belonging to the Gompertz distribution. The three estimation methods applied were the maximum likelihood, uniformly minimum variance unbiased, and Bayes estimators. A numerical illustration is used to compare the three different estimators.
Açıklama
Anahtar Kelimeler
Stress-strength reliability, Gompertz distribution, Minimum variance unbiased estimation, Maximum likelihood estimation, Bayes estimation, Mean square error
Kaynak
HACETTEPE JOURNAL OF MATHEMATICS AND STATISTICS
WoS Q Değeri
Q4
Scopus Q Değeri
Q3
Cilt
38
Sayı
3
Künye
Saracoğlu, B., Kaya, M.F., Abd-Elfattah, A.M. (2009). COMPARISON OF ESTIMATORS FOR STRESS-STRENGTH RELIABILITY IN THE GOMPERTZ CASE. HACETTEPE JOURNAL OF MATHEMATICS AND STATISTICS, 38(3), 339-349
