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Bayesian Prediction of future observation based on doubly censored data under exponential distribution
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Abstract: (9887 Views) |
| In many experiments about lifetime examination, we will faced on restrictions of time and sample size, which this factors cause that the researcher can’t access to all of data. Therefore, it is valuable to study prediction of unobserved values based on information of available data. in this paper we have studied the prediction of unobserved values in two status of one-sample and two-sample, when the parent distribution is the exponential distribution and imposed restriction is double censoring. in each case the interval prediction by given cover will be obtain. Finally, a numerical example is given to illustrate the procedures. |
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| Keywords: Order statistics, Bayesian prediction, Conjugate prior distribution, Exponential model, Double censoring |
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Full-Text [PDF 3780 kb]
(3575 Downloads)
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Type of Study: Applicable |
Subject:
Special
Received: 2012/06/11 | Accepted: 2012/08/15 | Published: 2014/07/12
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