On the correspondence between frequentist and Bayesian tests.

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.creatorSilva, Ivair Ramos-
Data de aceite: dc.date.accessioned2025-08-21T15:58:36Z-
Data de disponibilização: dc.date.available2025-08-21T15:58:36Z-
Data de envio: dc.date.issued2018-02-01-
Data de envio: dc.date.issued2018-02-01-
Data de envio: dc.date.issued2017-
Fonte completa do material: dc.identifierhttp://www.repositorio.ufop.br/handle/123456789/9399-
Fonte completa do material: dc.identifierhttp://www.tandfonline.com/doi/abs/10.1080/03610926.2017.1359296-
Fonte completa do material: dc.identifierhttps://doi.org/10.1080/03610926.2017.1359296-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/capes/1029048-
Descrição: dc.descriptionModern theory for statistical hypothesis testing can broadly be classified as Bayesian or frequentist. Unfortunately, one can reach divergent conclusions if Bayesian and frequentist approaches are applied in parallel to analyze the same data set. This is a serious impasse since there is a lack of consensus on when to use one approach in detriment of the other. However, this conflict can be resolved. The present paper shows the existence of a perfect equivalence between Bayesian and frequentist methods for testing. Hence, Bayesian and frequentist decision rules can always be calibrated, in both directions, in order to present concordant results.-
Formato: dc.formatapplication/pdf-
Idioma: dc.languageen-
Direitos: dc.rightsrestrito-
Palavras-chave: dc.subjectBayes factor-
Palavras-chave: dc.subjectMeasure of evidence-
Palavras-chave: dc.subjectPerformance measure-
Título: dc.titleOn the correspondence between frequentist and Bayesian tests.-
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