DOAJ Open Access 2021

Estimation of Parameters of the GIE Distribution Under Progressive Type-I Censoring

Mahmoud R. Mahmoud Hiba Z. Muhammed Ahmed R. El-Saeed Ashraf D. Abdellatif

Abstrak

In this paper, we consider generalized inverted exponential distribution which is capable of modeling various shapes of failure rates and aging processes. Based on progressive Type-I censored data, we consider the problem of estimation of parameters under classical and Bayesian approaches. In this regard, we obtain maximum likelihood estimates and Bayes estimates under squared error loss function. We also compute a 95% asymptotic confidence interval, bootstrap confidence intervals and highest posterior density (HPD) credible interval estimates. Finally, we analyze a real data set and conduct a Monte Carlo simulation study to compare the performance of the various proposed estimators.

Topik & Kata Kunci

Probabilities. Mathematical statistics

Penulis (4)

Mahmoud R. Mahmoud

Hiba Z. Muhammed

Ahmed R. El-Saeed

Ashraf D. Abdellatif

Format Sitasi

APA MLA BibTeX

Mahmoud, M.R., Muhammed, H.Z., El-Saeed, A.R., Abdellatif, A.D. (2021). Estimation of Parameters of the GIE Distribution Under Progressive Type-I Censoring. https://doi.org/10.2991/jsta.d.210510.001

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Informasi Jurnal

Tahun Terbit: 2021
Sumber Database: DOAJ
DOI: 10.2991/jsta.d.210510.001
Akses: Open Access ✓