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Artigo de periodico
Fitting mixed models to messy longitudinal data: a case study involving estimation of post mortem intervals (2019)
Singer, Júlio da Motta ; Rocha, Francisco Marcelo Monteiro da; André, Carmen Diva Saldiva de ; Zerbini, Talita
Source: Brazilian Journal of Probability and Statistics. Unidade: IME
Subjects: ANÁLISE DE SOBREVIVÊNCIA, ESTATÍSTICA APLICADA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SINGER, Júlio da Motta et al. Fitting mixed models to messy longitudinal data: a case study involving estimation of post mortem intervals. Brazilian Journal of Probability and Statistics, v. 33, n. 1, p. 161-183, 2019Tradução . . Disponível em: https://doi.org/10.1214/17-bjps382. Acesso em: 11 nov. 2025.
APA
Singer, J. da M., Rocha, F. M. M. da, André, C. D. S. de, & Zerbini, T. (2019). Fitting mixed models to messy longitudinal data: a case study involving estimation of post mortem intervals. Brazilian Journal of Probability and Statistics, 33( 1), 161-183. doi:10.1214/17-bjps382
NLM
Singer J da M, Rocha FMM da, André CDS de, Zerbini T. Fitting mixed models to messy longitudinal data: a case study involving estimation of post mortem intervals [Internet]. Brazilian Journal of Probability and Statistics. 2019 ; 33( 1): 161-183.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1214/17-bjps382
Vancouver
Singer J da M, Rocha FMM da, André CDS de, Zerbini T. Fitting mixed models to messy longitudinal data: a case study involving estimation of post mortem intervals [Internet]. Brazilian Journal of Probability and Statistics. 2019 ; 33( 1): 161-183.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1214/17-bjps382
Artigo de periodico
Likelihood-based inference for population size in a capture–recapture experiment with varying probabilities from occasion to occasion (2016)
Salasar, Luis Ernesto Bueno; Leite, José Galvão; Louzada, Francisco
Source: Brazilian Journal of Probability and Statistics. Unidade: ICMC
Subjects: INFERÊNCIA BAYESIANA, ESTATÍSTICA APLICADA, INFERÊNCIA ESTATÍSTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SALASAR, Luis Ernesto Bueno e LEITE, José Galvão e LOUZADA, Francisco. Likelihood-based inference for population size in a capture–recapture experiment with varying probabilities from occasion to occasion. Brazilian Journal of Probability and Statistics, v. 30, n. 1, p. 47-69, 2016Tradução . . Disponível em: https://doi.org/10.1214/14-BJPS255. Acesso em: 11 nov. 2025.
APA
Salasar, L. E. B., Leite, J. G., & Louzada, F. (2016). Likelihood-based inference for population size in a capture–recapture experiment with varying probabilities from occasion to occasion. Brazilian Journal of Probability and Statistics, 30( 1), 47-69. doi:10.1214/14-BJPS255
NLM
Salasar LEB, Leite JG, Louzada F. Likelihood-based inference for population size in a capture–recapture experiment with varying probabilities from occasion to occasion [Internet]. Brazilian Journal of Probability and Statistics. 2016 ; 30( 1): 47-69.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1214/14-BJPS255
Vancouver
Salasar LEB, Leite JG, Louzada F. Likelihood-based inference for population size in a capture–recapture experiment with varying probabilities from occasion to occasion [Internet]. Brazilian Journal of Probability and Statistics. 2016 ; 30( 1): 47-69.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1214/14-BJPS255
Artigo de periodico
Extensions of the skew-normal ogive item response model (2014)
Bazán Guzmán, Jorge Luis ; Branco, Marcia D'Elia ; Bolfarine, Heleno
Source: Brazilian Journal of Probability and Statistics. Unidades: ICMC, IME
Subjects: PROBABILIDADE, ESTATÍSTICA APLICADA, PSICOMETRIA, DISTRIBUIÇÕES (PROBABILIDADE), INFERÊNCIA BAYESIANA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BAZÁN GUZMÁN, Jorge Luis e BRANCO, Marcia D'Elia e BOLFARINE, Heleno. Extensions of the skew-normal ogive item response model. Brazilian Journal of Probability and Statistics, v. 28, n. 1, p. 1-23, 2014Tradução . . Disponível em: https://doi.org/10.1214/12-BJPS191. Acesso em: 11 nov. 2025.
APA
Bazán Guzmán, J. L., Branco, M. D. 'E., & Bolfarine, H. (2014). Extensions of the skew-normal ogive item response model. Brazilian Journal of Probability and Statistics, 28( 1), 1-23. doi:10.1214/12-BJPS191
NLM
Bazán Guzmán JL, Branco MD'E, Bolfarine H. Extensions of the skew-normal ogive item response model [Internet]. Brazilian Journal of Probability and Statistics. 2014 ; 28( 1): 1-23.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1214/12-BJPS191
Vancouver
Bazán Guzmán JL, Branco MD'E, Bolfarine H. Extensions of the skew-normal ogive item response model [Internet]. Brazilian Journal of Probability and Statistics. 2014 ; 28( 1): 1-23.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1214/12-BJPS191
Artigo de periodico
Bayesian skew-probit regression for binary response data (2014)
Bazán Guzmán, Jorge Luis ; Romeo, José S; Rodrigues, Josemar
Source: Brazilian Journal of Probability and Statistics. Unidade: ICMC
Subjects: INFERÊNCIA PARAMÉTRICA, PROBABILIDADE, ESTATÍSTICA APLICADA, DISTRIBUIÇÕES (PROBABILIDADE), INFERÊNCIA BAYESIANA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BAZÁN GUZMÁN, Jorge Luis e ROMEO, José S e RODRIGUES, Josemar. Bayesian skew-probit regression for binary response data. Brazilian Journal of Probability and Statistics, v. 28, n. 4, p. 467-482, 2014Tradução . . Disponível em: https://doi.org/10.1214/13-BJPS218. Acesso em: 11 nov. 2025.
APA
Bazán Guzmán, J. L., Romeo, J. S., & Rodrigues, J. (2014). Bayesian skew-probit regression for binary response data. Brazilian Journal of Probability and Statistics, 28( 4), 467-482. doi:10.1214/13-BJPS218
NLM
Bazán Guzmán JL, Romeo JS, Rodrigues J. Bayesian skew-probit regression for binary response data [Internet]. Brazilian Journal of Probability and Statistics. 2014 ; 28( 4): 467-482.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1214/13-BJPS218
Vancouver
Bazán Guzmán JL, Romeo JS, Rodrigues J. Bayesian skew-probit regression for binary response data [Internet]. Brazilian Journal of Probability and Statistics. 2014 ; 28( 4): 467-482.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1214/13-BJPS218
Artigo de periodico
A generalized species-area relationship: the Poisson distribution case (2014)
Conceição, Katiane Silva ; Pires, Rubiane M; Louzada, Francisco ; Andrade, Marinho Gomes de ; Diniz, Carlos A. R
Source: Brazilian Journal of Probability and Statistics. Unidade: ICMC
Subjects: INFERÊNCIA BAYESIANA, ESTATÍSTICA APLICADA, INFERÊNCIA ESTATÍSTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CONCEIÇÃO, Katiane Silva et al. A generalized species-area relationship: the Poisson distribution case. Brazilian Journal of Probability and Statistics, v. 28, n. 3, p. 446-460, 2014Tradução . . Disponível em: https://doi.org/10.1214/13-BJPS219. Acesso em: 11 nov. 2025.
APA
Conceição, K. S., Pires, R. M., Louzada, F., Andrade, M. G. de, & Diniz, C. A. R. (2014). A generalized species-area relationship: the Poisson distribution case. Brazilian Journal of Probability and Statistics, 28( 3), 446-460. doi:10.1214/13-BJPS219
NLM
Conceição KS, Pires RM, Louzada F, Andrade MG de, Diniz CAR. A generalized species-area relationship: the Poisson distribution case [Internet]. Brazilian Journal of Probability and Statistics. 2014 ; 28( 3): 446-460.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1214/13-BJPS219
Vancouver
Conceição KS, Pires RM, Louzada F, Andrade MG de, Diniz CAR. A generalized species-area relationship: the Poisson distribution case [Internet]. Brazilian Journal of Probability and Statistics. 2014 ; 28( 3): 446-460.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1214/13-BJPS219
Artigo de periodico
Long-term survival models with latent activation under a flexible family of distributions (2013)
Cancho, Vicente Garibay ; Castro, Mário de ; Dey, Dipak K.
Source: Brazilian Journal of Probability and Statistics. Unidade: ICMC
Subjects: INFERÊNCIA BAYESIANA, INFERÊNCIA ESTATÍSTICA, ESTATÍSTICA APLICADA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CANCHO, Vicente Garibay e CASTRO, Mário de e DEY, Dipak K. Long-term survival models with latent activation under a flexible family of distributions. Brazilian Journal of Probability and Statistics, v. 27, n. 4, p. 585-600, 2013Tradução . . Disponível em: https://doi.org/10.1214/12-bjps186. Acesso em: 11 nov. 2025.
APA
Cancho, V. G., Castro, M. de, & Dey, D. K. (2013). Long-term survival models with latent activation under a flexible family of distributions. Brazilian Journal of Probability and Statistics, 27( 4), 585-600. doi:10.1214/12-bjps186
NLM
Cancho VG, Castro M de, Dey DK. Long-term survival models with latent activation under a flexible family of distributions [Internet]. Brazilian Journal of Probability and Statistics. 2013 ; 27( 4): 585-600.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1214/12-bjps186
Vancouver
Cancho VG, Castro M de, Dey DK. Long-term survival models with latent activation under a flexible family of distributions [Internet]. Brazilian Journal of Probability and Statistics. 2013 ; 27( 4): 585-600.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1214/12-bjps186
Artigo de periodico
The complementary exponential power series distribution (2013)
Delgado, José F; Borges, Patrick; Cancho, Vicente Garibay ; Louzada, Francisco
Source: Brazilian Journal of Probability and Statistics. Unidade: ICMC
Subjects: INFERÊNCIA BAYESIANA, INFERÊNCIA ESTATÍSTICA, ESTATÍSTICA APLICADA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
DELGADO, José F et al. The complementary exponential power series distribution. Brazilian Journal of Probability and Statistics, v. 27, n. 4, p. 565-584, 2013Tradução . . Disponível em: https://doi.org/10.1214/11-BJPS182. Acesso em: 11 nov. 2025.
APA
Delgado, J. F., Borges, P., Cancho, V. G., & Louzada, F. (2013). The complementary exponential power series distribution. Brazilian Journal of Probability and Statistics, 27( 4), 565-584. doi:10.1214/11-BJPS182
NLM
Delgado JF, Borges P, Cancho VG, Louzada F. The complementary exponential power series distribution [Internet]. Brazilian Journal of Probability and Statistics. 2013 ; 27( 4): 565-584.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1214/11-BJPS182
Vancouver
Delgado JF, Borges P, Cancho VG, Louzada F. The complementary exponential power series distribution [Internet]. Brazilian Journal of Probability and Statistics. 2013 ; 27( 4): 565-584.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1214/11-BJPS182
Artigo de periodico
The polysurvival model with long-term survivors (2012)
Mazucheli, Josmar; Louzada, Francisco ; Achcar, Jorge Alberto
Source: Brazilian Journal of Probability and Statistics. Unidades: ICMC, FMRP
Subjects: INFERÊNCIA BAYESIANA, INFERÊNCIA ESTATÍSTICA, ESTATÍSTICA APLICADA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MAZUCHELI, Josmar e LOUZADA, Francisco e ACHCAR, Jorge Alberto. The polysurvival model with long-term survivors. Brazilian Journal of Probability and Statistics, v. 26, n. 3, p. 313-324, 2012Tradução . . Disponível em: https://doi.org/10.1214/11-bjps138. Acesso em: 11 nov. 2025.
APA
Mazucheli, J., Louzada, F., & Achcar, J. A. (2012). The polysurvival model with long-term survivors. Brazilian Journal of Probability and Statistics, 26( 3), 313-324. doi:10.1214/11-bjps138
NLM
Mazucheli J, Louzada F, Achcar JA. The polysurvival model with long-term survivors [Internet]. Brazilian Journal of Probability and Statistics. 2012 ; 26( 3): 313-324.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1214/11-bjps138
Vancouver
Mazucheli J, Louzada F, Achcar JA. The polysurvival model with long-term survivors [Internet]. Brazilian Journal of Probability and Statistics. 2012 ; 26( 3): 313-324.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1214/11-bjps138
Artigo de periodico
The multiplicative heteroscedastic Von Bertalanffy model (2012)
Diniz, Carlos Alberto Ribeiro; Louzada, Francisco ; Morita, Lia Hanna Martins
Source: Brazilian Journal of Probability and Statistics. Unidade: ICMC
Subjects: INFERÊNCIA BAYESIANA, INFERÊNCIA ESTATÍSTICA, ESTATÍSTICA APLICADA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
DINIZ, Carlos Alberto Ribeiro e LOUZADA, Francisco e MORITA, Lia Hanna Martins. The multiplicative heteroscedastic Von Bertalanffy model. Brazilian Journal of Probability and Statistics, v. 26, n. 1, p. 71-81, 2012Tradução . . Disponível em: https://doi.org/10.1214/10-bjps120. Acesso em: 11 nov. 2025.
APA
Diniz, C. A. R., Louzada, F., & Morita, L. H. M. (2012). The multiplicative heteroscedastic Von Bertalanffy model. Brazilian Journal of Probability and Statistics, 26( 1), 71-81. doi:10.1214/10-bjps120
NLM
Diniz CAR, Louzada F, Morita LHM. The multiplicative heteroscedastic Von Bertalanffy model [Internet]. Brazilian Journal of Probability and Statistics. 2012 ; 26( 1): 71-81.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1214/10-bjps120
Vancouver
Diniz CAR, Louzada F, Morita LHM. The multiplicative heteroscedastic Von Bertalanffy model [Internet]. Brazilian Journal of Probability and Statistics. 2012 ; 26( 1): 71-81.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1214/10-bjps120
Artigo de periodico
The log-generalized modified Weibull regression model (2011)
Ortega, Edwin Moises Marcos ; Cordeiro, Gauss M; Carrasco, Jalmar Manuel Farfan
Source: Brazilian Journal of Probability and Statistics. Unidades: ESALQ, IME
Subjects: MODELOS MATEMÁTICOS, REGRESSÃO LINEAR, ESTATÍSTICA APLICADA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ORTEGA, Edwin Moises Marcos e CORDEIRO, Gauss M e CARRASCO, Jalmar Manuel Farfan. The log-generalized modified Weibull regression model. Brazilian Journal of Probability and Statistics, v. 25, n. 1, p. 64-89, 2011Tradução . . Disponível em: https://doi.org/10.1214/09-BJPS110. Acesso em: 11 nov. 2025.
APA
Ortega, E. M. M., Cordeiro, G. M., & Carrasco, J. M. F. (2011). The log-generalized modified Weibull regression model. Brazilian Journal of Probability and Statistics, 25( 1), 64-89. doi:10.1214/09-BJPS110
NLM
Ortega EMM, Cordeiro GM, Carrasco JMF. The log-generalized modified Weibull regression model [Internet]. Brazilian Journal of Probability and Statistics. 2011 ; 25( 1): 64-89.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1214/09-BJPS110
Vancouver
Ortega EMM, Cordeiro GM, Carrasco JMF. The log-generalized modified Weibull regression model [Internet]. Brazilian Journal of Probability and Statistics. 2011 ; 25( 1): 64-89.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1214/09-BJPS110
Artigo de periodico
Does reference prior alleviate the incidental parameter problem? (2010)
Castro, Mário de ; Tomazella, Vera Lucia Damasceno
Source: Brazilian Journal of Probability and Statistics. Unidade: ICMC
Subjects: ESTATÍSTICA APLICADA, REGRESSÃO LINEAR
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CASTRO, Mário de e TOMAZELLA, Vera Lucia Damasceno. Does reference prior alleviate the incidental parameter problem?. Brazilian Journal of Probability and Statistics, v. 24, n. 3, p. 509-512, 2010Tradução . . Disponível em: https://doi.org/10.1214/09-bjps108. Acesso em: 11 nov. 2025.
APA
Castro, M. de, & Tomazella, V. L. D. (2010). Does reference prior alleviate the incidental parameter problem? Brazilian Journal of Probability and Statistics, 24( 3), 509-512. doi:10.1214/09-bjps108
NLM
Castro M de, Tomazella VLD. Does reference prior alleviate the incidental parameter problem? [Internet]. Brazilian Journal of Probability and Statistics. 2010 ; 24( 3): 509-512.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1214/09-bjps108
Vancouver
Castro M de, Tomazella VLD. Does reference prior alleviate the incidental parameter problem? [Internet]. Brazilian Journal of Probability and Statistics. 2010 ; 24( 3): 509-512.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1214/09-bjps108

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