Bayes estimators for reliability measures in geometric distribution model using masked system life test data |
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Authors: | Ammar M Sarhan Debasis Kundu |
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Affiliation: | a Department of Mathematics, Faculty of Science, Mansoura University, Mansoura 35516, Egypt b Department of Mathematics, Indian Institute of Technology Kanpur, Kanpur 208016, India |
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Abstract: | This paper presents Bayes estimators for the reliability measures of the individual components in a multi-component systems in the presence of masked system life test data. The life time distributions of the system components are assumed to be geometric with different parameters. Two-sided Bayesian probability intervals of the parameters are also derived. Numerical simulation study is given in order to: (i) explain how one can apply the theoretical results obtained, (ii) study the influence of the sample size and masking level on the accuracy of point estimates. |
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Keywords: | Bayes procedure Geometric distribution Reliability measures Masked data Competing risks |
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