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Filtros : "Bazán Guzmán, Jorge Luis" "Paz, Rosineide Fernando da" "ICMC" Removidos: " GRU020" "University of California (UC)" "Coreia do Sul" "Journal of the Brazilian Computer Society" "UFSC" Limpar

Filtros

Artigo de periodico
A finite mixture mixed proportion regression model for classification problems in longitudinal voting data (2023)
Paz, Rosineide Fernando da ; Bazán Guzmán, Jorge Luis ; Lachos, Victor Hugo ; Dey, Dipak Kumar
Source: Journal of Applied Statistics. Unidade: ICMC
Subjects: INFERÊNCIA BAYESIANA, MÉTODOS MCMC, CLUSTERS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PAZ, Rosineide Fernando da et al. A finite mixture mixed proportion regression model for classification problems in longitudinal voting data. Journal of Applied Statistics, v. 50, n. 4, p. 871-888, 2023Tradução . . Disponível em: https://doi.org/10.1080/02664763.2021.1998392. Acesso em: 14 nov. 2024.
APA
Paz, R. F. da, Bazán Guzmán, J. L., Lachos, V. H., & Dey, D. K. (2023). A finite mixture mixed proportion regression model for classification problems in longitudinal voting data. Journal of Applied Statistics, 50( 4), 871-888. doi:10.1080/02664763.2021.1998392
NLM
Paz RF da, Bazán Guzmán JL, Lachos VH, Dey DK. A finite mixture mixed proportion regression model for classification problems in longitudinal voting data [Internet]. Journal of Applied Statistics. 2023 ; 50( 4): 871-888.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1080/02664763.2021.1998392
Vancouver
Paz RF da, Bazán Guzmán JL, Lachos VH, Dey DK. A finite mixture mixed proportion regression model for classification problems in longitudinal voting data [Internet]. Journal of Applied Statistics. 2023 ; 50( 4): 871-888.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1080/02664763.2021.1998392
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
Source: Journal of Applied Statistics. Unidade: ICMC
Subjects: 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: 14 nov. 2024.
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 2024 nov. 14 ] 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 2024 nov. 14 ] Available from: https://doi.org/10.1080/02664763.2016.1221903

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