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|a eng
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|b ليبيا
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|9 444668
|a Bleed, Salma Omar
|e Author
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245 |
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|a Gibbs Sampling and Bayesian Estimatorsfor Time Censoring Constant Stress Reliability /Life Prediction
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260 |
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|b الجامعة الأسمرية الإسلامية زليتن - كليتى الآداب والعلوم
|c 2016
|g يونيو
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300 |
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|a 166 - 182
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336 |
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|a بحوث ومقالات
|b Article
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|b The main objective of this paper is to develop the Bayesian analysis for Constant Stress Accelerated Life Test (CSALT) under time censoring scheme of the Generalized Logistic (GL) Failure times. The power law function is used to represent the relationship between the stress and the scale parameters of a test unit. Bayes estimates are obtained using Markov Chain Monte Carlo (MCMC), simulation algorithm based on Gibbs sampling. Then, Monte Carlo error (MC error), credible intervals, and predicted values of the two scale parameters and the reliability function under design stress are obtained. Numerical illustration is addressed for illustrating the theoretical results. Win-Bugs software package is used for implementing Markov Chain Monte Carlo (MCMC) simulation and Gibbs sampling.
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653 |
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|a التحليل الرياضى
|a الإجهاد المستمر
|a المعادلات الرياضية
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692 |
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|b Accelerated Life Test
|b Constant Stress
|b Time Censoring
|b Power Law Function
|b Bayesian Method
|b Generalized Logistic Distribution
|b Markov Chain Monte Carlo
|b Gibbs Samples
|b Win-Bugs
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773 |
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|4 العلوم الإنسانية ، متعددة التخصصات
|6 Humanities, Multidisciplinary
|c 034
|l 028
|m ع28
|o 1582
|s مجلة العلوم الإنسانية والتطبيقية
|t Journal of Humanities and Applied Sciences
|v 000
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856 |
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|u 1582-000-028-034.pdf
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|d y
|p y
|q n
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|a HumanIndex
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|c 829458
|d 829458
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