Please use this identifier to cite or link to this item:
http://www.repositorio.ufop.br/jspui/handle/123456789/12603
Title: | Frequentist-bayesian Monte Carlo testing. |
Authors: | Silva, Ivair Ramos Marques, Reinaldo Antônio Gomes |
Keywords: | Measure of evidence Validity Composite p-value |
Issue Date: | 2019 |
Citation: | SILVA, I. R.; MARQUES, R. A. G. Frequentist-bayesian Monte Carlo testing. Communications in Statistics-Theory and Methods, v. 49, n. 10, fev. 2019. Disponível em: <https://www.tandfonline.com/doi/abs/10.1080/03610926.2019.1571610?af=R&journalCode=lsta20>. Acesso em: 03 jul. 2020. |
Abstract: | Conventional 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. |
URI: | http://www.repositorio.ufop.br/handle/123456789/12603 |
metadata.dc.identifier.uri2: | https://www.tandfonline.com/doi/abs/10.1080/03610926.2019.1571610?af=R&journalCode=lsta20 |
metadata.dc.identifier.doi: | https://doi.org/10.1080/03610926.2019.1571610 |
ISSN: | 1532-415X |
Appears in Collections: | DEEST - Artigos publicados em periódicos |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
ARTIGO_FrequentistBayesianMonte.pdf Restricted Access | 1,07 MB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.