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Sensitivity Analysis to Bayesian Multiple Hypothesis Testing Using Goal Programming.

The decision in the Bayesian hypothesis testing depends on the posterior probability distribution of the associated parameter and the loss function. In turn, the posterior probability distribution depends on the prior probability distribution of the parameter. Goal programming is used in this paper...

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Hovedforfatter: Ramadan Mohamed
Format: Artigo
Sprog:Inglês
Udgivet: Cairo University, Faculty of Graduate Studies for Statistical Research (FGSSR) 1998-06-01
Serier:The Egyptian Statistical Journal
Fag:
Multiple Hypothesis Testing
Bayesian Approach
Prior Probabilities
Posterior Probabilities
Loss Function
Goal Programming
Online adgang:https://esju.journals.ekb.eg/article_314564_3e9476cdfe0aae00794a7fb0948be738.pdf
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