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Bayesian Sample Size Computing for Normal Distribution via Lowest Posterior Loss Intervals
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Narges Najafi *   , Hossein Bevrani |
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Abstract: (19578 Views) |
| This paper is devoted to compute the sample size for estimation of Normal distribution mean with Bayesian approach. The Quadratic loss function is considered and three criterions are applied to obtain p- tolerance regions with the lowest posterior loss. These criterions are: average length, average coverage and worst outcome. The proposed methodology is examined, and its effectiveness is shown. |
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| Keywords: Bayesian Inference, Quadratic Loss Function, Lowest Posterior Loss. |
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Full-Text [PDF 2123 kb]
(3939 Downloads)
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Type of Study: Applied |
Subject:
Sampling
Received: 2012/01/21 | Accepted: 2012/04/22 | Published: 2015/06/17
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