Classical and bayesian inferences in step-stress partially accelerated life tests for inverse weibull distribution under type-I censoring
Yükleniyor...
Dosyalar
Tarih
2020
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Springer
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
This paper deals with the classical and Bayesian estimations of step-stress partially accelerated life test model under type-I censoring for the inverse Weibull lifetime distribution. In classical estimation, the maximum likelihood estimates of the distribution parameters and the acceleration factor were obtained. In addition, approximate confidence intervals of the parameters were constructed based on the asymptotic distribution of the maximum likelihood estimators. Under Bayesian inference, besides the Lindley and Tierney–Kadane approximation posterior expectation methods, which yielded point estimates of the distribution parameters and the acceleration factors under square error loss function, we also applied the Gibbs sampling method, in order to construct credible intervals of these parameters together with their point estimates. Finally, Monte Carlo simulations were conducted to compare the performances of the above estimation methods.
Açıklama
Anahtar Kelimeler
Step-stress partially accelerated life test, Inverse Weibull distribution, Type-I censoring, Maximum likelihood estimation, Bayesian estimation, Gibbs sampling
Kaynak
Strength of Materials
WoS Q Değeri
Q4
Scopus Q Değeri
Q4
Cilt
52
Sayı
3
Künye
Akgül, F. G., Yu, K., & Şenoğlu, B. (2020). Classical and Bayesian Inferences in Step-Stress Partially Accelerated Life Tests for Inverse Weibull Distribution Under Type-I Censoring. Strength of Materials, 52 (3), 480-496. Doi: 10.1007/s11223-020-00200-y.
