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Inference for Constant-Stress Partially Accelerated Life Test Model with Progressive Type-II Censoring Scheme |
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PP: 373-383 |
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doi:10.18576/jsap/060212
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Author(s) |
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Mohamed A. W. Mahmoud,
Rashad M. EL-Sagheer,
Heba Nagaty,
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Abstract |
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| In this paper, the point at issue of this paper is to deliberate point and interval estimations for the parameters of Weibull-exponential distribution (WED) using progressively Type-II censored (PRO-II-C) sample under constant stress partially accelerated life tests (CSPALT) model. The maximum likelihood, Bayes and parametric bootstrap methods are used for estimating the unknown parameters and acceleration factor. Markov chain Monte Carlo (MCMC) and Lindley’s approximation are used to get the Bayes estimators. Finally, an example presented to illustrate the results.
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