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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Detalles Bibliográficos

Autor principal:	Ramadan Mohamed
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Cairo University, Faculty of Graduate Studies for Statistical Research (FGSSR) 1998-06-01
Colección:	The Egyptian Statistical Journal
Materias:	Multiple Hypothesis Testing Bayesian Approach Prior Probabilities Posterior Probabilities Loss Function Goal Programming
Acceso en línea:	https://esju.journals.ekb.eg/article_314564_3e9476cdfe0aae00794a7fb0948be738.pdf
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