A seasonal and heteroscedastic gamma model for hydrological time series: a Bayesian approach (2012)
- Authors:
- USP affiliated authors: ANDRADE FILHO, MARINHO GOMES DE - ICMC ; ACHCAR, JORGE ALBERTO - FMRP
- Unidades: ICMC; FMRP
- DOI: 10.1063/1.4759593
- Subjects: ANÁLISE DE SÉRIES TEMPORAIS; HIDROLOGIA; DISTRIBUIÇÕES (PROBABILIDADE); INFERÊNCIA BAYESIANA; MÉTODOS MCMC
- Language: Inglês
- Imprenta:
- Publisher: American Institute of Physics - AIP
- Publisher place: College Park, Maryland
- Date published: 2012
- Source:
- Título do periódico: AIP Conference Proceedings
- ISSN: 0094-243X
- Volume/Número/Paginação/Ano: v. 1490, p. 97-107, 2012
- Conference titles: Brazilian Meeting on Bayesian Statistics - EBEB
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
CUERVO, Edilberto Cepeda e ANDRADE, Marinho Gomes de e ACHCAR, Jorge Alberto. A seasonal and heteroscedastic gamma model for hydrological time series: a Bayesian approach. AIP Conference Proceedings. College Park, Maryland: American Institute of Physics - AIP. Disponível em: https://doi.org/10.1063/1.4759593. Acesso em: 23 abr. 2024. , 2012 -
APA
Cuervo, E. C., Andrade, M. G. de, & Achcar, J. A. (2012). A seasonal and heteroscedastic gamma model for hydrological time series: a Bayesian approach. AIP Conference Proceedings. College Park, Maryland: American Institute of Physics - AIP. doi:10.1063/1.4759593 -
NLM
Cuervo EC, Andrade MG de, Achcar JA. A seasonal and heteroscedastic gamma model for hydrological time series: a Bayesian approach [Internet]. AIP Conference Proceedings. 2012 ; 1490 97-107.[citado 2024 abr. 23 ] Available from: https://doi.org/10.1063/1.4759593 -
Vancouver
Cuervo EC, Andrade MG de, Achcar JA. A seasonal and heteroscedastic gamma model for hydrological time series: a Bayesian approach [Internet]. AIP Conference Proceedings. 2012 ; 1490 97-107.[citado 2024 abr. 23 ] Available from: https://doi.org/10.1063/1.4759593 - Interfailure data with constant hazerd function in the presence of change-points
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Informações sobre o DOI: 10.1063/1.4759593 (Fonte: oaDOI API)
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