On system reliability estimation in stress-strength setup

Author(s):

Ali Rostami , Mohammad Khanjari Sadegh * , Mohammad Khorashadizadeh

Message:
Article Type:
Research/Original Article (دارای رتبه معتبر)
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.
Keywords:

Asymptotic confidence interval , Bayes estimation , Maximum likelihood estimation , Stress-strength reliability , Uniformly minimum variance unbiased estimation

Language:
English
Published:
Journal of Statistical Modelling: Theory and Applications, Volume:3 Issue: 1, Winter and Spring 2022
Pages:
103 to 121
https://www.magiran.com/p2559685  
سامانه نویسندگان
  • Khorashadizadeh، Mohammad
    Author (3)
    Khorashadizadeh, Mohammad
    Associate Professor Statistics, University Of Birjand, بیرجند, Iran
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