Faculty of Statistics, Payam Noor University of Tehran, Tehran, Iran
Abstract
In this paper, the reliability of a multicomponent stress-resistance model, when the stress and resistance variables have Rayleigh-Varron distributions with different parameters alpha and beta, is estimated using maximum likelihood, Bayesian, and empirical Bayesian methods. These estimation methods are then compared using Monte Carlo simulation and two real datasets.
Yaqoubzadeh, S. (2019). Comparison of reliability estimation methods for multicomponent stress-resistance models in Rayleigh-Varron distribution. Andishe_ye Amari, 24(1), 13-20.
MLA
Yaqoubzadeh, S. "Comparison of reliability estimation methods for multicomponent stress-resistance models in Rayleigh-Varron distribution", Andishe_ye Amari, 24, 1, 2019, 13-20.
HARVARD
Yaqoubzadeh S. (2019). 'Comparison of reliability estimation methods for multicomponent stress-resistance models in Rayleigh-Varron distribution', Andishe_ye Amari, 24(1), pp. 13-20.
CHICAGO
S. Yaqoubzadeh, "Comparison of reliability estimation methods for multicomponent stress-resistance models in Rayleigh-Varron distribution," Andishe_ye Amari, 24 1 (2019): 13-20,
VANCOUVER
Yaqoubzadeh S. Comparison of reliability estimation methods for multicomponent stress-resistance models in Rayleigh-Varron distribution. Andishe_ye Amari. 2019;24(1):13-20 (In Persian).
