On system reliability estimation in stress-strength setup

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ROSTAMI ALI; KHANJARI SADEGH MOHAMMAD; KHORASHADIZADEH MOHAMMAD

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Journal Paper

Paper Information

Journal: JOURNAL OF STATISTICAL MODELLING: THEORY AND APPLICATIONS Year:2022 | Volume:3 | Issue:1 Page(s): 103-121

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Information Journal Paper

Title

On system reliability estimation in stress-strength setup

Author(s)

ROSTAMI ALI | KHANJARI SADEGH MOHAMMAD | KHORASHADIZADEH MOHAMMAD | Issue Writer Certificate

Keywords

Asymptotic confidence interval

Bayes estimation

Maximum likelihood estimation

Stress-strength reliability

Uniformly minimum variance unbiased estimation

Abstract

In this paper, we consider the estimation of the Stress-strength reliability of a coherent system. The distributions of stress and strength random variables are the members of a general class of distributions. For a series-parallel system, the reliability of the stress-strength model is estimated using the Maximum likelihood estimation, Asymptotic confidence interval, Uniformly minimum variance unbiased estimation, and Bayes estimation. Also, simulation studies are performed, and two real data sets are analyzed.

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APA: Copy

ROSTAMI, ALI, KHANJARI SADEGH, MOHAMMAD, & KHORASHADIZADEH, MOHAMMAD. (2022). On system reliability estimation in stress-strength setup. JOURNAL OF STATISTICAL MODELLING: THEORY AND APPLICATIONS, 3(1), 103-121. SID. https://sid.ir/paper/1051190/en

Vancouver: Copy

ROSTAMI ALI, KHANJARI SADEGH MOHAMMAD, KHORASHADIZADEH MOHAMMAD. On system reliability estimation in stress-strength setup. JOURNAL OF STATISTICAL MODELLING: THEORY AND APPLICATIONS[Internet]. 2022;3(1):103-121. Available from: https://sid.ir/paper/1051190/en

IEEE: Copy

ALI ROSTAMI, MOHAMMAD KHANJARI SADEGH, and MOHAMMAD KHORASHADIZADEH, “On system reliability estimation in stress-strength setup,” JOURNAL OF STATISTICAL MODELLING: THEORY AND APPLICATIONS, vol. 3, no. 1, pp. 103–121, 2022, [Online]. Available: https://sid.ir/paper/1051190/en

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