Model choice in separate families: a comparison between the FBST and the Cox test (2019)
- Authors:
- Autor USP: PEREIRA, CARLOS ALBERTO DE BRAGANCA - IME
- Unidade: IME
- DOI: 10.1080/03610918.2018.1458139
- Subjects: INFERÊNCIA BAYESIANA; TESTES DE HIPÓTESES
- Keywords: Cox Test; FBST; Mixture model; Model choice; Separate Models; Significance test
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Communications in Statistics - Simulation and Computation
- ISSN: 0361-0918
- Volume/Número/Paginação/Ano: v. 48, n. 9, p. 2641–2654, 2019
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: green
-
ABNT
ASSANE, Cachimo Combo e PEREIRA, Basilio de Braganca e PEREIRA, Carlos Alberto de Bragança. Model choice in separate families: a comparison between the FBST and the Cox test. Communications in Statistics - Simulation and Computation, v. 48, n. 9, p. 2641–2654, 2019Tradução . . Disponível em: https://doi.org/10.1080/03610918.2018.1458139. Acesso em: 09 out. 2024. -
APA
Assane, C. C., Pereira, B. de B., & Pereira, C. A. de B. (2019). Model choice in separate families: a comparison between the FBST and the Cox test. Communications in Statistics - Simulation and Computation, 48( 9), 2641–2654. doi:10.1080/03610918.2018.1458139 -
NLM
Assane CC, Pereira B de B, Pereira CA de B. Model choice in separate families: a comparison between the FBST and the Cox test [Internet]. Communications in Statistics - Simulation and Computation. 2019 ; 48( 9): 2641–2654.[citado 2024 out. 09 ] Available from: https://doi.org/10.1080/03610918.2018.1458139 -
Vancouver
Assane CC, Pereira B de B, Pereira CA de B. Model choice in separate families: a comparison between the FBST and the Cox test [Internet]. Communications in Statistics - Simulation and Computation. 2019 ; 48( 9): 2641–2654.[citado 2024 out. 09 ] Available from: https://doi.org/10.1080/03610918.2018.1458139 - Dosimetria bayesiana
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Informações sobre o DOI: 10.1080/03610918.2018.1458139 (Fonte: oaDOI API)
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