Scopus
YÖKSİS Eşleşti
On estimation of R=P(Y<X) for exponential distribution under progressive type-II censoring
Journal of Statistical Computation and Simulation · Mayıs 2012
YÖKSİS Kayıtları
On Estimation of R P Y X for Exponential Distribution Under Progressive Type II Censoring
Journal of Statistical Computation and Simulation · 2012 SCI-Expanded
PROFESÖR BUĞRA SARAÇOĞLU →
On estimation of R P Y X for exponential distribution under progressive type II censoring
Journal of Statistical Computation and Simulation · 2012 SCI-Expanded
PROFESÖR İSMAİL KINACI →
Makale Bilgileri
DergiJournal of Statistical Computation and Simulation
Yayın TarihiMayıs 2012
Cilt / Sayfa82 · 729-744
Scopus ID2-s2.0-84860115371
Özet
This paper deals with the estimation of the stress-strength parameter R=P(Y<X), when X and Y are independent exponential random variables, and the data obtained from both distributions are progressively type-II censored. The uniformly minimum variance unbiased estimator and the maximum-likelihood estimator (MLE) are obtained for the stress-strength parameter. Based on the exact distribution of the MLE of R, an exact confidence interval of R has been obtained. Bayes estimate of R and the associated credible interval are also obtained under the assumption of independent inverse gamma priors. An extensive computer simulation is used to compare the performances of the proposed estimators. One data analysis has been performed for illustrative purpose. © 2012 Taylor and Francis Group, LLC.
Yazarlar (3)
1
Buğra Saraçoğlu
2
İsmail Kınacı
3
Debasis Kundu
Anahtar Kelimeler
Bayes estimator
confidence intervals
credible intervals
maximum-likelihood estimator
posterior analysis
prior distribution
uniformly minimum variance unbiased estimator
Kurumlar
Indian Institute of Technology Kanpur
Kanpur India
Selçuk Üniversitesi
Selçuklu Turkey
Metrikler
89
Atıf
3
Yazar
7
Anahtar Kelime