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Filtros : "PROCESSOS ESTOCÁSTICOS" "GUZMÁN, JORGE LUIS BAZÁN" Limpar

Filtros

Artigo de periodico
Bayesian estimation for a mixture of simplex distributions with an unknown number of components Brazil: HDI analysis in Brazil (2017)
Paz, Rosineide Fernando da; Bazán Guzmán, Jorge Luis ; Milan, Luis Aparecido
Fonte: Journal of Applied Statistics. Unidade: ICMC
Assuntos: PROCESSOS ESTOCÁSTICOS, INFERÊNCIA BAYESIANA, INFERÊNCIA ESTATÍSTICA, INFERÊNCIA PARAMÉTRICA, PROBABILIDADE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PAZ, Rosineide Fernando da e BAZÁN GUZMÁN, Jorge Luis e MILAN, Luis Aparecido. Bayesian estimation for a mixture of simplex distributions with an unknown number of components Brazil: HDI analysis in Brazil. Journal of Applied Statistics, v. 44, n. 9, p. 1630-1643, 2017Tradução . . Disponível em: https://doi.org/10.1080/02664763.2016.1221903. Acesso em: 09 nov. 2025.
APA
Paz, R. F. da, Bazán Guzmán, J. L., & Milan, L. A. (2017). Bayesian estimation for a mixture of simplex distributions with an unknown number of components Brazil: HDI analysis in Brazil. Journal of Applied Statistics, 44( 9), 1630-1643. doi:10.1080/02664763.2016.1221903
NLM
Paz RF da, Bazán Guzmán JL, Milan LA. Bayesian estimation for a mixture of simplex distributions with an unknown number of components Brazil: HDI analysis in Brazil [Internet]. Journal of Applied Statistics. 2017 ; 44( 9): 1630-1643.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1080/02664763.2016.1221903
Vancouver
Paz RF da, Bazán Guzmán JL, Milan LA. Bayesian estimation for a mixture of simplex distributions with an unknown number of components Brazil: HDI analysis in Brazil [Internet]. Journal of Applied Statistics. 2017 ; 44( 9): 1630-1643.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1080/02664763.2016.1221903
Trabalho de evento-anais periodico
A Weibull mixture model for the votes of a brazilian political party (2015)
Paz, Rosineide F; Ehlers, Ricardo Sandes ; Bazán Guzmán, Jorge Luis
Fonte: Interdisciplinary Bayesian Statistics: EBEB 2014. Unidade: ICMC
Assuntos: PROCESSOS ESTOCÁSTICOS, INFERÊNCIA BAYESIANA, INFERÊNCIA ESTATÍSTICA, INFERÊNCIA PARAMÉTRICA, PROBABILIDADE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PAZ, Rosineide F e EHLERS, Ricardo Sandes e BAZÁN GUZMÁN, Jorge Luis. A Weibull mixture model for the votes of a brazilian political party. Interdisciplinary Bayesian Statistics: EBEB 2014. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-319-12454-4_19. Acesso em: 09 nov. 2025. , 2015
APA
Paz, R. F., Ehlers, R. S., & Bazán Guzmán, J. L. (2015). A Weibull mixture model for the votes of a brazilian political party. Interdisciplinary Bayesian Statistics: EBEB 2014. Cham: Springer. doi:10.1007/978-3-319-12454-4_19
NLM
Paz RF, Ehlers RS, Bazán Guzmán JL. A Weibull mixture model for the votes of a brazilian political party [Internet]. Interdisciplinary Bayesian Statistics: EBEB 2014. 2015 ;[citado 2025 nov. 09 ] Available from: https://doi.org/10.1007/978-3-319-12454-4_19
Vancouver
Paz RF, Ehlers RS, Bazán Guzmán JL. A Weibull mixture model for the votes of a brazilian political party [Internet]. Interdisciplinary Bayesian Statistics: EBEB 2014. 2015 ;[citado 2025 nov. 09 ] Available from: https://doi.org/10.1007/978-3-319-12454-4_19

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