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Artigo de periodico
Time series regression models for COVID-19 deaths (2021)
Andrade, Marinho Gomes de ; Conceição, Katiane Silva ; Achcar, Jorge Alberto ; Ravishanker, Nalini
Source: Journal of Data Science. Unidade: ICMC
Subjects: MÉTODOS MCMC, ANÁLISE DE SÉRIES TEMPORAIS, COVID-19
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ANDRADE, Marinho Gomes de et al. Time series regression models for COVID-19 deaths. Journal of Data Science, v. 19, n. 2, p. 269-292, 2021Tradução . . Disponível em: https://doi.org/10.6339/21-JDS991. Acesso em: 14 nov. 2024.
APA
Andrade, M. G. de, Conceição, K. S., Achcar, J. A., & Ravishanker, N. (2021). Time series regression models for COVID-19 deaths. Journal of Data Science, 19( 2), 269-292. doi:10.6339/21-JDS991
NLM
Andrade MG de, Conceição KS, Achcar JA, Ravishanker N. Time series regression models for COVID-19 deaths [Internet]. Journal of Data Science. 2021 ; 19( 2): 269-292.[citado 2024 nov. 14 ] Available from: https://doi.org/10.6339/21-JDS991
Vancouver
Andrade MG de, Conceição KS, Achcar JA, Ravishanker N. Time series regression models for COVID-19 deaths [Internet]. Journal of Data Science. 2021 ; 19( 2): 269-292.[citado 2024 nov. 14 ] Available from: https://doi.org/10.6339/21-JDS991
Artigo de periodico
Objective bayesian inference for the capability index of the gamma distribution (2021)
Almeida, Marcello Henrique de; Ramos, Pedro Luiz ; Rao, Gadde Srinivasa ; Maola, Fernando Antonio
Source: Quality and Reliability Engineering International. Unidade: ICMC
Subjects: INFERÊNCIA BAYESIANA, MÉTODOS MCMC
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ALMEIDA, Marcello Henrique de et al. Objective bayesian inference for the capability index of the gamma distribution. Quality and Reliability Engineering International, v. 37, n. 5, p. 2235-2247, 2021Tradução . . Disponível em: https://doi.org/10.1002/qre.2854. Acesso em: 14 nov. 2024.
APA
Almeida, M. H. de, Ramos, P. L., Rao, G. S., & Maola, F. A. (2021). Objective bayesian inference for the capability index of the gamma distribution. Quality and Reliability Engineering International, 37( 5), 2235-2247. doi:10.1002/qre.2854
NLM
Almeida MH de, Ramos PL, Rao GS, Maola FA. Objective bayesian inference for the capability index of the gamma distribution [Internet]. Quality and Reliability Engineering International. 2021 ; 37( 5): 2235-2247.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1002/qre.2854
Vancouver
Almeida MH de, Ramos PL, Rao GS, Maola FA. Objective bayesian inference for the capability index of the gamma distribution [Internet]. Quality and Reliability Engineering International. 2021 ; 37( 5): 2235-2247.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1002/qre.2854
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: 14 nov. 2024.
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 2024 nov. 14 ] 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 2024 nov. 14 ] Available from: https://doi.org/10.1214/21-BJPS505
Artigo de periodico
A Bayesian approach for zero-modified Skellam model with Hamiltonian MCMC (2021)
Conceição, Katiane Silva ; Suzuki, Adriano Kamimura ; Andrade, Marinho Gomes de
Source: Statistical Methods and Applications. Unidade: ICMC
Subjects: MÉTODOS MCMC, PROCESSOS DE POISSON, DISTRIBUIÇÕES (PROBABILIDADE)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CONCEIÇÃO, Katiane Silva e SUZUKI, Adriano Kamimura e ANDRADE, Marinho Gomes de. A Bayesian approach for zero-modified Skellam model with Hamiltonian MCMC. Statistical Methods and Applications, v. 30, p. 747-765, 2021Tradução . . Disponível em: https://doi.org/10.1007/s10260-020-00541-7. Acesso em: 14 nov. 2024.
APA
Conceição, K. S., Suzuki, A. K., & Andrade, M. G. de. (2021). A Bayesian approach for zero-modified Skellam model with Hamiltonian MCMC. Statistical Methods and Applications, 30, 747-765. doi:10.1007/s10260-020-00541-7
NLM
Conceição KS, Suzuki AK, Andrade MG de. A Bayesian approach for zero-modified Skellam model with Hamiltonian MCMC [Internet]. Statistical Methods and Applications. 2021 ; 30 747-765.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1007/s10260-020-00541-7
Vancouver
Conceição KS, Suzuki AK, Andrade MG de. A Bayesian approach for zero-modified Skellam model with Hamiltonian MCMC [Internet]. Statistical Methods and Applications. 2021 ; 30 747-765.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1007/s10260-020-00541-7
Artigo de periodico
Bayesian reference analysis for the generalized normal linear regression model (2021)
Tomazella, Vera Lucia Damasceno ; Jesus, Sandra Rêgo ; Gazon, Amanda Buosi ; Louzada, Francisco ; Nadarajah, Saralees ; Nascimento, Diego Carvalho ; Rodrigues, Francisco Aparecido ; Ramos, Pedro Luiz
Source: Symmetry. 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
TOMAZELLA, Vera Lucia Damasceno et al. Bayesian reference analysis for the generalized normal linear regression model. Symmetry, v. 13, n. 5, p. 1-20, 2021Tradução . . Disponível em: https://doi.org/10.3390/sym13050856. Acesso em: 14 nov. 2024.
APA
Tomazella, V. L. D., Jesus, S. R., Gazon, A. B., Louzada, F., Nadarajah, S., Nascimento, D. C., et al. (2021). Bayesian reference analysis for the generalized normal linear regression model. Symmetry, 13( 5), 1-20. doi:10.3390/sym13050856
NLM
Tomazella VLD, Jesus SR, Gazon AB, Louzada F, Nadarajah S, Nascimento DC, Rodrigues FA, Ramos PL. Bayesian reference analysis for the generalized normal linear regression model [Internet]. Symmetry. 2021 ; 13( 5): 1-20.[citado 2024 nov. 14 ] Available from: https://doi.org/10.3390/sym13050856
Vancouver
Tomazella VLD, Jesus SR, Gazon AB, Louzada F, Nadarajah S, Nascimento DC, Rodrigues FA, Ramos PL. Bayesian reference analysis for the generalized normal linear regression model [Internet]. Symmetry. 2021 ; 13( 5): 1-20.[citado 2024 nov. 14 ] Available from: https://doi.org/10.3390/sym13050856
Artigo de periodico
Bayesian inference for the pairwise probability of agreement using data from several measurement systems (2021)
Castro, Mário de ; Galea Rojas, Manuel Jesus
Source: Quality Engineering. Unidade: ICMC
Subjects: INFERÊNCIA BAYESIANA, MÉTODOS MCMC, SIMULAÇÃO (ESTATÍSTICA)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CASTRO, Mário de e GALEA ROJAS, Manuel Jesus. Bayesian inference for the pairwise probability of agreement using data from several measurement systems. Quality Engineering, v. 33, n. 4, p. 571-580, 2021Tradução . . Disponível em: https://doi.org/10.1080/08982112.2021.1931317. Acesso em: 14 nov. 2024.
APA
Castro, M. de, & Galea Rojas, M. J. (2021). Bayesian inference for the pairwise probability of agreement using data from several measurement systems. Quality Engineering, 33( 4), 571-580. doi:10.1080/08982112.2021.1931317
NLM
Castro M de, Galea Rojas MJ. Bayesian inference for the pairwise probability of agreement using data from several measurement systems [Internet]. Quality Engineering. 2021 ; 33( 4): 571-580.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1080/08982112.2021.1931317
Vancouver
Castro M de, Galea Rojas MJ. Bayesian inference for the pairwise probability of agreement using data from several measurement systems [Internet]. Quality Engineering. 2021 ; 33( 4): 571-580.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1080/08982112.2021.1931317

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