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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
Fonte: Journal of Applied Statistics. Unidade: ICMC
Assuntos: 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: 15 nov. 2025.
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 2025 nov. 15 ] 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 2025 nov. 15 ] Available from: https://doi.org/10.1080/02664763.2021.1998392
Artigo de periodico
Modeling categorical covariates for lifetime data in the presence of cure fraction by Bayesian partition structures (2014)
Louzada, Francisco ; Castro, Mário de ; Tomazella, Vera ; Gonzales, Jhon F. B
Fonte: Journal of Applied Statistics. Unidade: ICMC
Assuntos: INFERÊNCIA BAYESIANA, MÉTODOS MCMC, ANÁLISE DE SOBREVIVÊNCIA, MELANOMA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LOUZADA, Francisco et al. Modeling categorical covariates for lifetime data in the presence of cure fraction by Bayesian partition structures. Journal of Applied Statistics, v. 41, n. 3, p. 622-634, 2014Tradução . . Disponível em: https://doi.org/10.1080/02664763.2013.847067. Acesso em: 15 nov. 2025.
APA
Louzada, F., Castro, M. de, Tomazella, V., & Gonzales, J. F. B. (2014). Modeling categorical covariates for lifetime data in the presence of cure fraction by Bayesian partition structures. Journal of Applied Statistics, 41( 3), 622-634. doi:10.1080/02664763.2013.847067
NLM
Louzada F, Castro M de, Tomazella V, Gonzales JFB. Modeling categorical covariates for lifetime data in the presence of cure fraction by Bayesian partition structures [Internet]. Journal of Applied Statistics. 2014 ; 41( 3): 622-634.[citado 2025 nov. 15 ] Available from: https://doi.org/10.1080/02664763.2013.847067
Vancouver
Louzada F, Castro M de, Tomazella V, Gonzales JFB. Modeling categorical covariates for lifetime data in the presence of cure fraction by Bayesian partition structures [Internet]. Journal of Applied Statistics. 2014 ; 41( 3): 622-634.[citado 2025 nov. 15 ] Available from: https://doi.org/10.1080/02664763.2013.847067
Artigo de periodico
Bayesian multivariate GARCH models with dynamic correlations and asymmetric error distributions (2014)
Fioruci, José Augusto; Ehlers, Ricardo Sandes ; Andrade, Marinho Gomes de
Fonte: Journal of Applied Statistics. Unidade: ICMC
Assuntos: INFERÊNCIA BAYESIANA, INFERÊNCIA PARAMÉTRICA, ANÁLISE MULTIVARIADA, MÉTODOS MCMC
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FIORUCI, José Augusto e EHLERS, Ricardo Sandes e ANDRADE, Marinho Gomes de. Bayesian multivariate GARCH models with dynamic correlations and asymmetric error distributions. Journal of Applied Statistics, v. 41, n. 2, p. 320-331, 2014Tradução . . Disponível em: https://doi.org/10.1080/02664763.2013.839635. Acesso em: 15 nov. 2025.
APA
Fioruci, J. A., Ehlers, R. S., & Andrade, M. G. de. (2014). Bayesian multivariate GARCH models with dynamic correlations and asymmetric error distributions. Journal of Applied Statistics, 41( 2), 320-331. doi:10.1080/02664763.2013.839635
NLM
Fioruci JA, Ehlers RS, Andrade MG de. Bayesian multivariate GARCH models with dynamic correlations and asymmetric error distributions [Internet]. Journal of Applied Statistics. 2014 ; 41( 2): 320-331.[citado 2025 nov. 15 ] Available from: https://doi.org/10.1080/02664763.2013.839635
Vancouver
Fioruci JA, Ehlers RS, Andrade MG de. Bayesian multivariate GARCH models with dynamic correlations and asymmetric error distributions [Internet]. Journal of Applied Statistics. 2014 ; 41( 2): 320-331.[citado 2025 nov. 15 ] Available from: https://doi.org/10.1080/02664763.2013.839635
Artigo de periodico
Dynamic functional data analysis with non-parametric state space models (2014)
Laurini, Marcio Poletti
Fonte: Journal of Applied Statistics. Unidade: FEARP
Assuntos: DINÂMICA DAS ESTRUTURAS, MÉTODOS MCMC, INFERÊNCIA BAYESIANA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LAURINI, Marcio Poletti. Dynamic functional data analysis with non-parametric state space models. Journal of Applied Statistics, v. 41, n. 1, p. 142-163, 2014Tradução . . Disponível em: https://doi.org/10.1080/02664763.2013.838663. Acesso em: 15 nov. 2025.
APA
Laurini, M. P. (2014). Dynamic functional data analysis with non-parametric state space models. Journal of Applied Statistics, 41( 1), 142-163. doi:10.1080/02664763.2013.838663
NLM
Laurini MP. Dynamic functional data analysis with non-parametric state space models [Internet]. Journal of Applied Statistics. 2014 ; 41( 1): 142-163.[citado 2025 nov. 15 ] Available from: https://doi.org/10.1080/02664763.2013.838663
Vancouver
Laurini MP. Dynamic functional data analysis with non-parametric state space models [Internet]. Journal of Applied Statistics. 2014 ; 41( 1): 142-163.[citado 2025 nov. 15 ] Available from: https://doi.org/10.1080/02664763.2013.838663
Artigo de periodico
A multiple group item response theory model with centered skew-normal latent trait distributions under a Bayesian framework (2013)
Santos, Jose R.S.; Azevedo, Caio Lucidius Naberezny ; Bolfarine, Heleno
Fonte: Journal of Applied Statistics. Unidade: IME
Assuntos: TEORIA DE RESPOSTA AO ITEM, DISTRIBUIÇÃO NORMAL, INFERÊNCIA BAYESIANA, MÉTODOS MCMC
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SANTOS, Jose R.S. e AZEVEDO, Caio Lucidius Naberezny e BOLFARINE, Heleno. A multiple group item response theory model with centered skew-normal latent trait distributions under a Bayesian framework. Journal of Applied Statistics, v. 40, n. 10, p. 2129-2149, 2013Tradução . . Disponível em: https://doi.org/10.1080/02664763.2013.807331. Acesso em: 15 nov. 2025.
APA
Santos, J. R. S., Azevedo, C. L. N., & Bolfarine, H. (2013). A multiple group item response theory model with centered skew-normal latent trait distributions under a Bayesian framework. Journal of Applied Statistics, 40( 10), 2129-2149. doi:10.1080/02664763.2013.807331
NLM
Santos JRS, Azevedo CLN, Bolfarine H. A multiple group item response theory model with centered skew-normal latent trait distributions under a Bayesian framework [Internet]. Journal of Applied Statistics. 2013 ; 40( 10): 2129-2149.[citado 2025 nov. 15 ] Available from: https://doi.org/10.1080/02664763.2013.807331
Vancouver
Santos JRS, Azevedo CLN, Bolfarine H. A multiple group item response theory model with centered skew-normal latent trait distributions under a Bayesian framework [Internet]. Journal of Applied Statistics. 2013 ; 40( 10): 2129-2149.[citado 2025 nov. 15 ] Available from: https://doi.org/10.1080/02664763.2013.807331

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