Scopus
Comparison of estimators for stress-strength reliability in the gompertz case
Hacettepe Journal of Mathematics and Statistics · Ocak 2009
Makale Bilgileri
DergiHacettepe Journal of Mathematics and Statistics
Yayın TarihiOcak 2009
Cilt / Sayfa38 · 339-349
Scopus ID2-s2.0-77951029985
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.
Yazarlar (3)
1
Buğra Saraçoğlu
2
Mehmet Fedai Kaya
3
A. M. Abd-Elfattah
Anahtar Kelimeler
Bayes estimation
Gompertz distribution
Maximum likelihood estimation
Mean square error
Minimum variance unbiased estimation
Stress-strength reliability
Kurumlar
Faculty of Graduate Studies for Statistical Research
Giza Egypt
Selçuk Üniversitesi
Selçuklu Turkey
Metrikler
30
Atıf
3
Yazar
6
Anahtar Kelime