Frequentist-bayesian Monte Carlo testing.

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MetadadosDescriçãoIdioma
Autor(es): dc.creatorSilva, Ivair Ramos-
Autor(es): dc.creatorMarques, Reinaldo Antônio Gomes-
Data de aceite: dc.date.accessioned2025-08-21T15:09:57Z-
Data de disponibilização: dc.date.available2025-08-21T15:09:57Z-
Data de envio: dc.date.issued2020-08-17-
Data de envio: dc.date.issued2020-08-17-
Data de envio: dc.date.issued2019-
Fonte completa do material: dc.identifierhttp://www.repositorio.ufop.br/handle/123456789/12603-
Fonte completa do material: dc.identifierhttps://www.tandfonline.com/doi/abs/10.1080/03610926.2019.1571610?af=R&journalCode=lsta20-
Fonte completa do material: dc.identifierhttps://doi.org/10.1080/03610926.2019.1571610-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/capes/1004090-
Descrição: dc.descriptionConventional methods for statistical hypothesis testing has historically been categorized as frequentist or Bayesian. But, a third option based on a reconciling hybrid frequentist-Bayesian framework is quickly emerging. Although prominent, there are applications where the exact hybrid test is not computable. For such cases, the present paper introduces a straightforward Monte Carlo procedure for performing frequentist-Bayesian testing.-
Formato: dc.formatapplication/pdf-
Idioma: dc.languageen-
Direitos: dc.rightsrestrito-
Palavras-chave: dc.subjectMeasure of evidence-
Palavras-chave: dc.subjectValidity-
Palavras-chave: dc.subjectComposite p-value-
Título: dc.titleFrequentist-bayesian Monte Carlo testing.-
Aparece nas coleções:Repositório Institucional - UFOP

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