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Bayesian Prediction Based on Dual Generalized Order Statistics Using Multiply Type-II Censoring |
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PP: 145-151 |
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doi:10.18576/jsapl/080206
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Author(s) |
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Mostafa M. Mohie El-Din,
Mohamed S. Kotb,
Haidy A. Newer,
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Abstract |
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This paper provides Bayesian prediction for a past ordered observations based on dual generalized order statistics (dgos) by using multiply type-II censoring. A general class of distribution and a general class of prior distribution are used to illustrate the main idea. The predictive reliability function can be obtained in one sample case. A simulation data for Power distribution is used to clear the purposed results.
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