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Artigo de periodico
An introduction to Bent Jørgensen’s ideas (2021)
Cordeiro, Gauss Moutinho ; Labouriau, Rodrigo ; Botter, Denise Aparecida
Source: Brazilian Journal of Probability and Statistics. Unidade: IME
Assunto: MODELOS LINEARES GENERALIZADOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CORDEIRO, Gauss Moutinho e LABOURIAU, Rodrigo e BOTTER, Denise Aparecida. An introduction to Bent Jørgensen’s ideas. Brazilian Journal of Probability and Statistics, v. 35, n. 1, p. 2-20, 2021Tradução . . Disponível em: https://doi.org/10.1214/19-BJPS458. Acesso em: 10 nov. 2025.
APA
Cordeiro, G. M., Labouriau, R., & Botter, D. A. (2021). An introduction to Bent Jørgensen’s ideas. Brazilian Journal of Probability and Statistics, 35( 1), 2-20. doi:10.1214/19-BJPS458
NLM
Cordeiro GM, Labouriau R, Botter DA. An introduction to Bent Jørgensen’s ideas [Internet]. Brazilian Journal of Probability and Statistics. 2021 ; 35( 1): 2-20.[citado 2025 nov. 10 ] Available from: https://doi.org/10.1214/19-BJPS458
Vancouver
Cordeiro GM, Labouriau R, Botter DA. An introduction to Bent Jørgensen’s ideas [Internet]. Brazilian Journal of Probability and Statistics. 2021 ; 35( 1): 2-20.[citado 2025 nov. 10 ] Available from: https://doi.org/10.1214/19-BJPS458
Artigo de periodico
Sample size for estimating organism concentration in ballast water: A Bayesian approach (2021)
Costa, Eliardo Guimarães da ; Paulino, Carlos Daniel ; Singer, Júlio da Motta
Source: Brazilian Journal of Probability and Statistics. Unidade: IME
Subjects: DISTRIBUIÇÃO DE POISSON, INFERÊNCIA BAYESIANA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
COSTA, Eliardo Guimarães da e PAULINO, Carlos Daniel e SINGER, Júlio da Motta. Sample size for estimating organism concentration in ballast water: A Bayesian approach. Brazilian Journal of Probability and Statistics, 2021Tradução . . Disponível em: https://doi.org/10.1214/20-BJPS470. Acesso em: 10 nov. 2025.
APA
Costa, E. G. da, Paulino, C. D., & Singer, J. da M. (2021). Sample size for estimating organism concentration in ballast water: A Bayesian approach. Brazilian Journal of Probability and Statistics. doi:10.1214/20-BJPS470
NLM
Costa EG da, Paulino CD, Singer J da M. Sample size for estimating organism concentration in ballast water: A Bayesian approach [Internet]. Brazilian Journal of Probability and Statistics. 2021 ;[citado 2025 nov. 10 ] Available from: https://doi.org/10.1214/20-BJPS470
Vancouver
Costa EG da, Paulino CD, Singer J da M. Sample size for estimating organism concentration in ballast water: A Bayesian approach [Internet]. Brazilian Journal of Probability and Statistics. 2021 ;[citado 2025 nov. 10 ] Available from: https://doi.org/10.1214/20-BJPS470
Artigo de periodico
Inference in a linear functional relationship with replications (2021)
Hokama, Julio; Morettin, Pedro Alberto ; Bolfarine, Heleno ; Galea Rojas, Manuel Jesus
Source: Brazilian Journal of Probability and Statistics. Unidade: IME
Subjects: INFERÊNCIA PARAMÉTRICA, TESTES DE HIPÓTESES, REGRESSÃO LINEAR
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
HOKAMA, Julio et al. Inference in a linear functional relationship with replications. Brazilian Journal of Probability and Statistics, v. 35, n. 3, p. 569-589, 2021Tradução . . Disponível em: https://doi.org/10.1214/21-BJPS498. Acesso em: 10 nov. 2025.
APA
Hokama, J., Morettin, P. A., Bolfarine, H., & Galea Rojas, M. J. (2021). Inference in a linear functional relationship with replications. Brazilian Journal of Probability and Statistics, 35( 3), 569-589. doi:10.1214/21-BJPS498
NLM
Hokama J, Morettin PA, Bolfarine H, Galea Rojas MJ. Inference in a linear functional relationship with replications [Internet]. Brazilian Journal of Probability and Statistics. 2021 ; 35( 3): 569-589.[citado 2025 nov. 10 ] Available from: https://doi.org/10.1214/21-BJPS498
Vancouver
Hokama J, Morettin PA, Bolfarine H, Galea Rojas MJ. Inference in a linear functional relationship with replications [Internet]. Brazilian Journal of Probability and Statistics. 2021 ; 35( 3): 569-589.[citado 2025 nov. 10 ] Available from: https://doi.org/10.1214/21-BJPS498
Artigo de periodico
Bayesian inference for zero-and/or-one augmented beta rectangular regression models (2021)
Silva, Ana R. S; Azevedo, Caio Lucidius Naberezny ; Bazán Guzmán, Jorge Luis ; Nobre, Juvêncio Santos
Source: Brazilian Journal of Probability and Statistics. Unidade: ICMC
Subjects: INFERÊNCIA BAYESIANA, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, MÉTODOS MCMC
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA, Ana R. S et al. Bayesian inference for zero-and/or-one augmented beta rectangular regression models. Brazilian Journal of Probability and Statistics, v. 35, n. 4, p. 749-771, 2021Tradução . . Disponível em: https://doi.org/10.1214/21-BJPS505. Acesso em: 10 nov. 2025.
APA
Silva, A. R. S., Azevedo, C. L. N., Bazán Guzmán, J. L., & Nobre, J. S. (2021). Bayesian inference for zero-and/or-one augmented beta rectangular regression models. Brazilian Journal of Probability and Statistics, 35( 4), 749-771. doi:10.1214/21-BJPS505
NLM
Silva ARS, Azevedo CLN, Bazán Guzmán JL, Nobre JS. Bayesian inference for zero-and/or-one augmented beta rectangular regression models [Internet]. Brazilian Journal of Probability and Statistics. 2021 ; 35( 4): 749-771.[citado 2025 nov. 10 ] Available from: https://doi.org/10.1214/21-BJPS505
Vancouver
Silva ARS, Azevedo CLN, Bazán Guzmán JL, Nobre JS. Bayesian inference for zero-and/or-one augmented beta rectangular regression models [Internet]. Brazilian Journal of Probability and Statistics. 2021 ; 35( 4): 749-771.[citado 2025 nov. 10 ] Available from: https://doi.org/10.1214/21-BJPS505
Artigo de periodico
A general expression for second-order covariance matrices: an application to dispersion models (2021)
Magalhães, Tiago Maia; Botter, Denise Aparecida ; Sandoval, Monica Carneiro
Source: Brazilian Journal of Probability and Statistics. Unidade: IME
Assunto: MODELOS LINEARES GENERALIZADOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MAGALHÃES, Tiago Maia e BOTTER, Denise Aparecida e SANDOVAL, Monica Carneiro. A general expression for second-order covariance matrices: an application to dispersion models. Brazilian Journal of Probability and Statistics, v. 35, n. 1, p. 37-49, 2021Tradução . . Disponível em: https://doi.org/10.1214/20-BJPS489. Acesso em: 10 nov. 2025.
APA
Magalhães, T. M., Botter, D. A., & Sandoval, M. C. (2021). A general expression for second-order covariance matrices: an application to dispersion models. Brazilian Journal of Probability and Statistics, 35( 1), 37-49. doi:10.1214/20-BJPS489
NLM
Magalhães TM, Botter DA, Sandoval MC. A general expression for second-order covariance matrices: an application to dispersion models [Internet]. Brazilian Journal of Probability and Statistics. 2021 ; 35( 1): 37-49.[citado 2025 nov. 10 ] Available from: https://doi.org/10.1214/20-BJPS489
Vancouver
Magalhães TM, Botter DA, Sandoval MC. A general expression for second-order covariance matrices: an application to dispersion models [Internet]. Brazilian Journal of Probability and Statistics. 2021 ; 35( 1): 37-49.[citado 2025 nov. 10 ] Available from: https://doi.org/10.1214/20-BJPS489
Artigo de periodico
Estimation of semiparametric models with errors following a scale mixture of Gaussian distributions (2021)
Taddeo, Marcelo Magalhães; Morettin, Pedro Alberto
Source: Brazilian Journal of Probability and Statistics. Unidade: IME
Assunto: INFERÊNCIA SEMIPARAMÉTRICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
TADDEO, Marcelo Magalhães e MORETTIN, Pedro Alberto. Estimation of semiparametric models with errors following a scale mixture of Gaussian distributions. Brazilian Journal of Probability and Statistics, v. 35, n. 2, p. 315-334, 2021Tradução . . Disponível em: https://doi.org/10.1214/20-BJPS476. Acesso em: 10 nov. 2025.
APA
Taddeo, M. M., & Morettin, P. A. (2021). Estimation of semiparametric models with errors following a scale mixture of Gaussian distributions. Brazilian Journal of Probability and Statistics, 35( 2), 315-334. doi:10.1214/20-BJPS476
NLM
Taddeo MM, Morettin PA. Estimation of semiparametric models with errors following a scale mixture of Gaussian distributions [Internet]. Brazilian Journal of Probability and Statistics. 2021 ; 35( 2): 315-334.[citado 2025 nov. 10 ] Available from: https://doi.org/10.1214/20-BJPS476
Vancouver
Taddeo MM, Morettin PA. Estimation of semiparametric models with errors following a scale mixture of Gaussian distributions [Internet]. Brazilian Journal of Probability and Statistics. 2021 ; 35( 2): 315-334.[citado 2025 nov. 10 ] Available from: https://doi.org/10.1214/20-BJPS476
Artigo de periodico
The local principle of large deviations for compound Poisson process with catastrophes (2021)
Logachov, Artem; Logachova, Olga ; Yambartsev, Anatoli
Source: Brazilian Journal of Probability and Statistics. Unidade: IME
Subjects: EQUAÇÕES DIFERENCIAIS ESTOCÁSTICAS, GRANDES DESVIOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LOGACHOV, Artem e LOGACHOVA, Olga e YAMBARTSEV, Anatoli. The local principle of large deviations for compound Poisson process with catastrophes. Brazilian Journal of Probability and Statistics, v. 35, n. 2, p. 205-223, 2021Tradução . . Disponível em: https://doi.org/10.1214/20-BJPS472. Acesso em: 10 nov. 2025.
APA
Logachov, A., Logachova, O., & Yambartsev, A. (2021). The local principle of large deviations for compound Poisson process with catastrophes. Brazilian Journal of Probability and Statistics, 35( 2), 205-223. doi:10.1214/20-BJPS472
NLM
Logachov A, Logachova O, Yambartsev A. The local principle of large deviations for compound Poisson process with catastrophes [Internet]. Brazilian Journal of Probability and Statistics. 2021 ; 35( 2): 205-223.[citado 2025 nov. 10 ] Available from: https://doi.org/10.1214/20-BJPS472
Vancouver
Logachov A, Logachova O, Yambartsev A. The local principle of large deviations for compound Poisson process with catastrophes [Internet]. Brazilian Journal of Probability and Statistics. 2021 ; 35( 2): 205-223.[citado 2025 nov. 10 ] Available from: https://doi.org/10.1214/20-BJPS472
Artigo de periodico
The random deterioration rate model with measurement error based on the inverse Gaussian distribution (2021)
Morita, Lia Hanna Martins ; Tomazella, Vera Lucia Damasceno ; Ramos, Pedro Luis ; Ferreira, Paulo Henrique ; Louzada, Francisco
Source: Brazilian Journal of Probability and Statistics. Unidade: ICMC
Subjects: DISTRIBUIÇÕES (PROBABILIDADE), VEROSSIMILHANÇA, ANÁLISE DE SOBREVIVÊNCIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MORITA, Lia Hanna Martins et al. The random deterioration rate model with measurement error based on the inverse Gaussian distribution. Brazilian Journal of Probability and Statistics, v. 35, n. 1, p. 187-204, 2021Tradução . . Disponível em: https://doi.org/10.1214/20-BJPS468. Acesso em: 10 nov. 2025.
APA
Morita, L. H. M., Tomazella, V. L. D., Ramos, P. L., Ferreira, P. H., & Louzada, F. (2021). The random deterioration rate model with measurement error based on the inverse Gaussian distribution. Brazilian Journal of Probability and Statistics, 35( 1), 187-204. doi:10.1214/20-BJPS468
NLM
Morita LHM, Tomazella VLD, Ramos PL, Ferreira PH, Louzada F. The random deterioration rate model with measurement error based on the inverse Gaussian distribution [Internet]. Brazilian Journal of Probability and Statistics. 2021 ; 35( 1): 187-204.[citado 2025 nov. 10 ] Available from: https://doi.org/10.1214/20-BJPS468
Vancouver
Morita LHM, Tomazella VLD, Ramos PL, Ferreira PH, Louzada F. The random deterioration rate model with measurement error based on the inverse Gaussian distribution [Internet]. Brazilian Journal of Probability and Statistics. 2021 ; 35( 1): 187-204.[citado 2025 nov. 10 ] Available from: https://doi.org/10.1214/20-BJPS468

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