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Artigo de periodico
Bimodal heteroskedastic bivariate regression with application to soy data (2025)
Vasconcelos, Julio C. S; Suzuki, Adriano K ; Rezende, Édila M. de; Ortega, Edwin M. M ; Cordeiro, Gauss M; Oliveira, João A; Vila, Roberto
Fonte: Communications in Statistics - Simulation and Computation. Unidades: ICMC, ESALQ
Assuntos: ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, DISTRIBUIÇÕES (PROBABILIDADE), HETEROSCEDASTICIDADE, MODELAGEM DE DADOS, NODULAÇÃO, SEMENTES, SOJA, VEROSSIMILHANÇA
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ABNT
VASCONCELOS, Julio C. S et al. Bimodal heteroskedastic bivariate regression with application to soy data. Communications in Statistics - Simulation and Computation, p. 1-26, 2025Tradução . . Disponível em: https://doi.org/10.1080/03610918.2025.2531156. Acesso em: 08 out. 2025.
APA
Vasconcelos, J. C. S., Suzuki, A. K., Rezende, É. M. de, Ortega, E. M. M., Cordeiro, G. M., Oliveira, J. A., & Vila, R. (2025). Bimodal heteroskedastic bivariate regression with application to soy data. Communications in Statistics - Simulation and Computation, 1-26. doi:10.1080/03610918.2025.2531156
NLM
Vasconcelos JCS, Suzuki AK, Rezende ÉM de, Ortega EMM, Cordeiro GM, Oliveira JA, Vila R. Bimodal heteroskedastic bivariate regression with application to soy data [Internet]. Communications in Statistics - Simulation and Computation. 2025 ; 1-26.[citado 2025 out. 08 ] Available from: https://doi.org/10.1080/03610918.2025.2531156
Vancouver
Vasconcelos JCS, Suzuki AK, Rezende ÉM de, Ortega EMM, Cordeiro GM, Oliveira JA, Vila R. Bimodal heteroskedastic bivariate regression with application to soy data [Internet]. Communications in Statistics - Simulation and Computation. 2025 ; 1-26.[citado 2025 out. 08 ] Available from: https://doi.org/10.1080/03610918.2025.2531156
Artigo de periodico
A bayesian cure rate regression model using Hamiltonian Monte Carlo methods (2024)
Cancho, Vicente Garibay ; Sacramento, Michele Maciel; Ortega, Edwin Moises Marcos ; Moraes, Talita E. N. T; Cordeiro, Gauss Moutinho
Fonte: Communications in Statistics - Simulation and Computation. Unidades: ICMC, ESALQ, Interinstitucional de Pós-Graduação em Estatística
Assuntos: INFERÊNCIA BAYESIANA, PROCESSOS DE POISSON, ANÁLISE DE SOBREVIVÊNCIA
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ABNT
CANCHO, Vicente Garibay et al. A bayesian cure rate regression model using Hamiltonian Monte Carlo methods. Communications in Statistics - Simulation and Computation, 2024Tradução . . Disponível em: https://doi.org/10.1080/03610918.2024.2370985. Acesso em: 08 out. 2025.
APA
Cancho, V. G., Sacramento, M. M., Ortega, E. M. M., Moraes, T. E. N. T., & Cordeiro, G. M. (2024). A bayesian cure rate regression model using Hamiltonian Monte Carlo methods. Communications in Statistics - Simulation and Computation. doi:10.1080/03610918.2024.2370985
NLM
Cancho VG, Sacramento MM, Ortega EMM, Moraes TENT, Cordeiro GM. A bayesian cure rate regression model using Hamiltonian Monte Carlo methods [Internet]. Communications in Statistics - Simulation and Computation. 2024 ;[citado 2025 out. 08 ] Available from: https://doi.org/10.1080/03610918.2024.2370985
Vancouver
Cancho VG, Sacramento MM, Ortega EMM, Moraes TENT, Cordeiro GM. A bayesian cure rate regression model using Hamiltonian Monte Carlo methods [Internet]. Communications in Statistics - Simulation and Computation. 2024 ;[citado 2025 out. 08 ] Available from: https://doi.org/10.1080/03610918.2024.2370985
Artigo de periodico
Evaluation of maximum likelihood procedures in ranked set sampling under imperfect ranking (2023)
Taconeli, Cesar Augusto; Lara, Idemauro Antonio Rodrigues de
Fonte: Communications in Statistics - Simulation and Computation. Unidade: ESALQ
Assuntos: AMOSTRAGEM, INFERÊNCIA ESTATÍSTICA, MÉTODO DE MONTE CARLO, REAMOSTRAGEM BOOTSTRAP, TEORIA ASSINTÓTICA, VEROSSIMILHANÇA
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ABNT
TACONELI, Cesar Augusto e LARA, Idemauro Antonio Rodrigues de. Evaluation of maximum likelihood procedures in ranked set sampling under imperfect ranking. Communications in Statistics - Simulation and Computation, p. 1-23, 2023Tradução . . Disponível em: https://doi.org/10.1080/03610918.2023.2196749. Acesso em: 08 out. 2025.
APA
Taconeli, C. A., & Lara, I. A. R. de. (2023). Evaluation of maximum likelihood procedures in ranked set sampling under imperfect ranking. Communications in Statistics - Simulation and Computation, 1-23. doi:10.1080/03610918.2023.2196749
NLM
Taconeli CA, Lara IAR de. Evaluation of maximum likelihood procedures in ranked set sampling under imperfect ranking [Internet]. Communications in Statistics - Simulation and Computation. 2023 ; 1-23.[citado 2025 out. 08 ] Available from: https://doi.org/10.1080/03610918.2023.2196749
Vancouver
Taconeli CA, Lara IAR de. Evaluation of maximum likelihood procedures in ranked set sampling under imperfect ranking [Internet]. Communications in Statistics - Simulation and Computation. 2023 ; 1-23.[citado 2025 out. 08 ] Available from: https://doi.org/10.1080/03610918.2023.2196749
Artigo de periodico
Bayesian estimation of multidimensional polytomous item response theory models with Q-matrices using Stan (2023)
Silva, Marcelo Andrade da ; Liu, Ren ; Huggins-Manley, Anne Corinne ; Bazán Guzmán, Jorge Luis
Fonte: Communications in Statistics - Simulation and Computation. Unidades: ESALQ, ICMC
Assuntos: INFERÊNCIA BAYESIANA, MODELOS MATEMÁTICOS, SOFTWARES, TEORIA DE RESPOSTA AO ITEM
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ABNT
SILVA, Marcelo Andrade da et al. Bayesian estimation of multidimensional polytomous item response theory models with Q-matrices using Stan. Communications in Statistics - Simulation and Computation, v. 52, n. 11, p. 5178-5194, 2023Tradução . . Disponível em: https://doi.org/10.1080/03610918.2021.1977951. Acesso em: 08 out. 2025.
APA
Silva, M. A. da, Liu, R., Huggins-Manley, A. C., & Bazán Guzmán, J. L. (2023). Bayesian estimation of multidimensional polytomous item response theory models with Q-matrices using Stan. Communications in Statistics - Simulation and Computation, 52( 11), 5178-5194. doi:10.1080/03610918.2021.1977951
NLM
Silva MA da, Liu R, Huggins-Manley AC, Bazán Guzmán JL. Bayesian estimation of multidimensional polytomous item response theory models with Q-matrices using Stan [Internet]. Communications in Statistics - Simulation and Computation. 2023 ; 52( 11): 5178-5194.[citado 2025 out. 08 ] Available from: https://doi.org/10.1080/03610918.2021.1977951
Vancouver
Silva MA da, Liu R, Huggins-Manley AC, Bazán Guzmán JL. Bayesian estimation of multidimensional polytomous item response theory models with Q-matrices using Stan [Internet]. Communications in Statistics - Simulation and Computation. 2023 ; 52( 11): 5178-5194.[citado 2025 out. 08 ] Available from: https://doi.org/10.1080/03610918.2021.1977951
Artigo de periodico
The polynomial-exponential distribution: a continuous probability model allowing for occurrence of zero values (2022)
Chesneau, Christophe ; Bakouch, Hassan S ; Ramos, Pedro Luiz ; Louzada, Francisco
Fonte: Communications in Statistics - Simulation and Computation. Unidade: ICMC
Assuntos: DISTRIBUIÇÕES (PROBABILIDADE), VEROSSIMILHANÇA, SIMULAÇÃO (ESTATÍSTICA)
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ABNT
CHESNEAU, Christophe et al. The polynomial-exponential distribution: a continuous probability model allowing for occurrence of zero values. Communications in Statistics - Simulation and Computation, v. 51, n. 8, p. 4581-4606, 2022Tradução . . Disponível em: https://doi.org/10.1080/03610918.2020.1746339. Acesso em: 08 out. 2025.
APA
Chesneau, C., Bakouch, H. S., Ramos, P. L., & Louzada, F. (2022). The polynomial-exponential distribution: a continuous probability model allowing for occurrence of zero values. Communications in Statistics - Simulation and Computation, 51( 8), 4581-4606. doi:10.1080/03610918.2020.1746339
NLM
Chesneau C, Bakouch HS, Ramos PL, Louzada F. The polynomial-exponential distribution: a continuous probability model allowing for occurrence of zero values [Internet]. Communications in Statistics - Simulation and Computation. 2022 ; 51( 8): 4581-4606.[citado 2025 out. 08 ] Available from: https://doi.org/10.1080/03610918.2020.1746339
Vancouver
Chesneau C, Bakouch HS, Ramos PL, Louzada F. The polynomial-exponential distribution: a continuous probability model allowing for occurrence of zero values [Internet]. Communications in Statistics - Simulation and Computation. 2022 ; 51( 8): 4581-4606.[citado 2025 out. 08 ] Available from: https://doi.org/10.1080/03610918.2020.1746339
Artigo de periodico
Linear mixed models based on skew scale mixtures of normal distributions (2022)
Ferreira, Clécio S. ; Bolfarine, Heleno ; Lachos, Victor Hugo
Fonte: Communications in Statistics - Simulation and Computation. Unidade: IME
Assunto: REGRESSÃO LINEAR
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ABNT
FERREIRA, Clécio S. e BOLFARINE, Heleno e LACHOS, Victor Hugo. Linear mixed models based on skew scale mixtures of normal distributions. Communications in Statistics - Simulation and Computation, v. 51, n. 12, p. 7194-7214, 2022Tradução . . Disponível em: https://doi.org/10.1080/03610918.2020.1827265. Acesso em: 08 out. 2025.
APA
Ferreira, C. S., Bolfarine, H., & Lachos, V. H. (2022). Linear mixed models based on skew scale mixtures of normal distributions. Communications in Statistics - Simulation and Computation, 51( 12), 7194-7214. doi:10.1080/03610918.2020.1827265
NLM
Ferreira CS, Bolfarine H, Lachos VH. Linear mixed models based on skew scale mixtures of normal distributions [Internet]. Communications in Statistics - Simulation and Computation. 2022 ; 51( 12): 7194-7214.[citado 2025 out. 08 ] Available from: https://doi.org/10.1080/03610918.2020.1827265
Vancouver
Ferreira CS, Bolfarine H, Lachos VH. Linear mixed models based on skew scale mixtures of normal distributions [Internet]. Communications in Statistics - Simulation and Computation. 2022 ; 51( 12): 7194-7214.[citado 2025 out. 08 ] Available from: https://doi.org/10.1080/03610918.2020.1827265
Artigo de periodico
An extended logit-normal regression with application to human development index data (2022)
Vasconcelos, Julio Cezar Souza ; Prataviera, Fabio ; Ortega, Edwin Moises Marcos ; Cordeiro, G. M
Fonte: Communications in Statistics - Simulation and Computation. Unidade: ESALQ
Assuntos: DESENVOLVIMENTO HUMANO, MÉTODO DE MONTE CARLO, MODELOS MATEMÁTICOS, PROBABILIDADE, SIMULAÇÃO (ESTATÍSTICA), VEROSSIMILHANÇA
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ABNT
VASCONCELOS, Julio Cezar Souza et al. An extended logit-normal regression with application to human development index data. Communications in Statistics - Simulation and Computation, p. 1-13, 2022Tradução . . Disponível em: https://doi.org/10.1080/03610918.2022.2045497. Acesso em: 08 out. 2025.
APA
Vasconcelos, J. C. S., Prataviera, F., Ortega, E. M. M., & Cordeiro, G. M. (2022). An extended logit-normal regression with application to human development index data. Communications in Statistics - Simulation and Computation, 1-13. doi:10.1080/03610918.2022.2045497
NLM
Vasconcelos JCS, Prataviera F, Ortega EMM, Cordeiro GM. An extended logit-normal regression with application to human development index data [Internet]. Communications in Statistics - Simulation and Computation. 2022 ; 1-13.[citado 2025 out. 08 ] Available from: https://doi.org/10.1080/03610918.2022.2045497
Vancouver
Vasconcelos JCS, Prataviera F, Ortega EMM, Cordeiro GM. An extended logit-normal regression with application to human development index data [Internet]. Communications in Statistics - Simulation and Computation. 2022 ; 1-13.[citado 2025 out. 08 ] Available from: https://doi.org/10.1080/03610918.2022.2045497
Artigo de periodico
A multivariate survival model induced by discrete frailty (2022)
Cancho, Vicente Garibay ; Suzuki, Adriano Kamimura ; Barriga, Gladys Dorotea Cacsire ; Santo, Ana Paula Jorge do Espírito
Fonte: Communications in Statistics - Simulation and Computation. Unidades: ICMC, Interinstitucional de Pós-Graduação em Estatística
Assuntos: ANÁLISE DE SOBREVIVÊNCIA, DISTRIBUIÇÕES (PROBABILIDADE), INFERÊNCIA BAYESIANA
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ABNT
CANCHO, Vicente Garibay et al. A multivariate survival model induced by discrete frailty. Communications in Statistics - Simulation and Computation, v. 51, n. 11, p. 6572-6590, 2022Tradução . . Disponível em: https://doi.org/10.1080/03610918.2020.1806323. Acesso em: 08 out. 2025.
APA
Cancho, V. G., Suzuki, A. K., Barriga, G. D. C., & Santo, A. P. J. do E. (2022). A multivariate survival model induced by discrete frailty. Communications in Statistics - Simulation and Computation, 51( 11), 6572-6590. doi:10.1080/03610918.2020.1806323
NLM
Cancho VG, Suzuki AK, Barriga GDC, Santo APJ do E. A multivariate survival model induced by discrete frailty [Internet]. Communications in Statistics - Simulation and Computation. 2022 ; 51( 11): 6572-6590.[citado 2025 out. 08 ] Available from: https://doi.org/10.1080/03610918.2020.1806323
Vancouver
Cancho VG, Suzuki AK, Barriga GDC, Santo APJ do E. A multivariate survival model induced by discrete frailty [Internet]. Communications in Statistics - Simulation and Computation. 2022 ; 51( 11): 6572-6590.[citado 2025 out. 08 ] Available from: https://doi.org/10.1080/03610918.2020.1806323
Artigo de periodico
The exponentiated power exponential semiparametric regression model (2022)
Prataviera, Fabio ; Ortega, Edwin Moises Marcos ; Cordeiro, Gauss Moutinho ; Cancho, Vicente Garibay
Fonte: Communications in Statistics - Simulation and Computation. Unidades: ESALQ, ICMC
Assuntos: ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, INFERÊNCIA SEMIPARAMÉTRICA, MÉTODO DE MONTE CARLO, MODELOS MATEMÁTICOS, VEROSSIMILHANÇA
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ABNT
PRATAVIERA, Fabio et al. The exponentiated power exponential semiparametric regression model. Communications in Statistics - Simulation and Computation, v. 51, n. 10, p. 5933-5953, 2022Tradução . . Disponível em: https://doi.org/10.1080/03610918.2020.1788585. Acesso em: 08 out. 2025.
APA
Prataviera, F., Ortega, E. M. M., Cordeiro, G. M., & Cancho, V. G. (2022). The exponentiated power exponential semiparametric regression model. Communications in Statistics - Simulation and Computation, 51( 10), 5933-5953. doi:10.1080/03610918.2020.1788585
NLM
Prataviera F, Ortega EMM, Cordeiro GM, Cancho VG. The exponentiated power exponential semiparametric regression model [Internet]. Communications in Statistics - Simulation and Computation. 2022 ; 51( 10): 5933-5953.[citado 2025 out. 08 ] Available from: https://doi.org/10.1080/03610918.2020.1788585
Vancouver
Prataviera F, Ortega EMM, Cordeiro GM, Cancho VG. The exponentiated power exponential semiparametric regression model [Internet]. Communications in Statistics - Simulation and Computation. 2022 ; 51( 10): 5933-5953.[citado 2025 out. 08 ] Available from: https://doi.org/10.1080/03610918.2020.1788585
Artigo de periodico
A generalization of Basu-Dhar’s bivariate geometric distribution to the trivariate case (2021)
Oliveira, Ricardo Puziol de ; Mazucheli, Josmar ; Achcar, Jorge Alberto
Fonte: Communications in Statistics - Simulation and Computation. Unidade: FMRP
Assuntos: INFERÊNCIA BAYESIANA, ANÁLISE DE SOBREVIVÊNCIA
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ABNT
OLIVEIRA, Ricardo Puziol de e MAZUCHELI, Josmar e ACHCAR, Jorge Alberto. A generalization of Basu-Dhar’s bivariate geometric distribution to the trivariate case. Communications in Statistics - Simulation and Computation, v. 50, n. 12, p. 4388–4412, 2021Tradução . . Disponível em: https://doi.org/10.1080/03610918.2019.1643881. Acesso em: 08 out. 2025.
APA
Oliveira, R. P. de, Mazucheli, J., & Achcar, J. A. (2021). A generalization of Basu-Dhar’s bivariate geometric distribution to the trivariate case. Communications in Statistics - Simulation and Computation, 50( 12), 4388–4412. doi:10.1080/03610918.2019.1643881
NLM
Oliveira RP de, Mazucheli J, Achcar JA. A generalization of Basu-Dhar’s bivariate geometric distribution to the trivariate case [Internet]. Communications in Statistics - Simulation and Computation. 2021 ; 50( 12): 4388–4412.[citado 2025 out. 08 ] Available from: https://doi.org/10.1080/03610918.2019.1643881
Vancouver
Oliveira RP de, Mazucheli J, Achcar JA. A generalization of Basu-Dhar’s bivariate geometric distribution to the trivariate case [Internet]. Communications in Statistics - Simulation and Computation. 2021 ; 50( 12): 4388–4412.[citado 2025 out. 08 ] Available from: https://doi.org/10.1080/03610918.2019.1643881
Artigo de periodico
An extended Maxwell semiparametric regression for censored and uncensored data (2021)
Prataviera, Fabio ; Ortega, Edwin Moises Marcos ; Cordeiro, Gauss M
Fonte: Communications in Statistics - Simulation and Computation. Unidade: ESALQ
Assuntos: DADOS CENSURADOS, DISTRIBUIÇÕES (PROBABILIDADE), MÉTODO DE MONTE CARLO, VEROSSIMILHANÇA
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ABNT
PRATAVIERA, Fabio e ORTEGA, Edwin Moises Marcos e CORDEIRO, Gauss M. An extended Maxwell semiparametric regression for censored and uncensored data. Communications in Statistics - Simulation and Computation, 2021Tradução . . Disponível em: https://doi.org/10.1080/03610918.2021.1934021. Acesso em: 08 out. 2025.
APA
Prataviera, F., Ortega, E. M. M., & Cordeiro, G. M. (2021). An extended Maxwell semiparametric regression for censored and uncensored data. Communications in Statistics - Simulation and Computation. doi:10.1080/03610918.2021.1934021
NLM
Prataviera F, Ortega EMM, Cordeiro GM. An extended Maxwell semiparametric regression for censored and uncensored data [Internet]. Communications in Statistics - Simulation and Computation. 2021 ;[citado 2025 out. 08 ] Available from: https://doi.org/10.1080/03610918.2021.1934021
Vancouver
Prataviera F, Ortega EMM, Cordeiro GM. An extended Maxwell semiparametric regression for censored and uncensored data [Internet]. Communications in Statistics - Simulation and Computation. 2021 ;[citado 2025 out. 08 ] Available from: https://doi.org/10.1080/03610918.2021.1934021
Artigo de periodico
Bayesian superposition of pure-birth destructive cure processes for tumor latency (2020)
Rodrigues, Josemar ; Inacio, Marco Henrique de Almeida ; Suzuki, Adriano Kamimura ; Silva, Fernando Raimundo da; Balakrishnan, Narayanaswamy
Fonte: Communications in Statistics - Simulation and Computation. Unidades: ICMC, Interinstitucional de Pós-Graduação em Estatística
Assuntos: INFERÊNCIA BAYESIANA, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, ANÁLISE DE SOBREVIVÊNCIA, PROCESSOS DE MARKOV, PROCESSOS ESTOCÁSTICOS
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ABNT
RODRIGUES, Josemar et al. Bayesian superposition of pure-birth destructive cure processes for tumor latency. Communications in Statistics - Simulation and Computation, v. 49, n. 12, p. 3240-3253, 2020Tradução . . Disponível em: https://doi.org/10.1080/03610918.2018.1538455. Acesso em: 08 out. 2025.
APA
Rodrigues, J., Inacio, M. H. de A., Suzuki, A. K., Silva, F. R. da, & Balakrishnan, N. (2020). Bayesian superposition of pure-birth destructive cure processes for tumor latency. Communications in Statistics - Simulation and Computation, 49( 12), 3240-3253. doi:10.1080/03610918.2018.1538455
NLM
Rodrigues J, Inacio MH de A, Suzuki AK, Silva FR da, Balakrishnan N. Bayesian superposition of pure-birth destructive cure processes for tumor latency [Internet]. Communications in Statistics - Simulation and Computation. 2020 ; 49( 12): 3240-3253.[citado 2025 out. 08 ] Available from: https://doi.org/10.1080/03610918.2018.1538455
Vancouver
Rodrigues J, Inacio MH de A, Suzuki AK, Silva FR da, Balakrishnan N. Bayesian superposition of pure-birth destructive cure processes for tumor latency [Internet]. Communications in Statistics - Simulation and Computation. 2020 ; 49( 12): 3240-3253.[citado 2025 out. 08 ] Available from: https://doi.org/10.1080/03610918.2018.1538455
Artigo de periodico
Exponential-Poisson distribution: estimation and applications to rainfall and aircraft data with zero occurrence (2020)
Louzada, Francisco ; Ramos, Pedro Luiz ; Ferreira, Paulo Henrique
Fonte: Communications in Statistics - Simulation and Computation. Unidade: ICMC
Assuntos: DISTRIBUIÇÕES (PROBABILIDADE), VEROSSIMILHANÇA, ESTIMAÇÃO PARAMÉTRICA, METEOROLOGIA
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ABNT
LOUZADA, Francisco e RAMOS, Pedro Luiz e FERREIRA, Paulo Henrique. Exponential-Poisson distribution: estimation and applications to rainfall and aircraft data with zero occurrence. Communications in Statistics - Simulation and Computation, v. 49, n. 4, p. 1024-1043, 2020Tradução . . Disponível em: https://doi.org/10.1080/03610918.2018.1491988. Acesso em: 08 out. 2025.
APA
Louzada, F., Ramos, P. L., & Ferreira, P. H. (2020). Exponential-Poisson distribution: estimation and applications to rainfall and aircraft data with zero occurrence. Communications in Statistics - Simulation and Computation, 49( 4), 1024-1043. doi:10.1080/03610918.2018.1491988
NLM
Louzada F, Ramos PL, Ferreira PH. Exponential-Poisson distribution: estimation and applications to rainfall and aircraft data with zero occurrence [Internet]. Communications in Statistics - Simulation and Computation. 2020 ; 49( 4): 1024-1043.[citado 2025 out. 08 ] Available from: https://doi.org/10.1080/03610918.2018.1491988
Vancouver
Louzada F, Ramos PL, Ferreira PH. Exponential-Poisson distribution: estimation and applications to rainfall and aircraft data with zero occurrence [Internet]. Communications in Statistics - Simulation and Computation. 2020 ; 49( 4): 1024-1043.[citado 2025 out. 08 ] Available from: https://doi.org/10.1080/03610918.2018.1491988
Artigo de periodico
Corrected-Hill versus partially reduced-bias value-at-risk estimation (2020)
Gomes, M. Ivette ; Caeiro, Frederico ; Figueiredo, Fernanda ; Rodrigues, Ligia Carla Pinto Henriques Jorge ; Pestana, Dinis
Fonte: Communications in Statistics - Simulation and Computation. Unidade: IME
Assuntos: DISTRIBUIÇÕES (PROBABILIDADE), MÉTODO DE MONTE CARLO, ANÁLISE DE RISCO
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ABNT
GOMES, M. Ivette et al. Corrected-Hill versus partially reduced-bias value-at-risk estimation. Communications in Statistics - Simulation and Computation, v. 49, n. 4, 2020Tradução . . Disponível em: https://doi.org/10.1080/03610918.2018.1489053. Acesso em: 08 out. 2025.
APA
Gomes, M. I., Caeiro, F., Figueiredo, F., Rodrigues, L. C. P. H. J., & Pestana, D. (2020). Corrected-Hill versus partially reduced-bias value-at-risk estimation. Communications in Statistics - Simulation and Computation, 49( 4). doi:10.1080/03610918.2018.1489053
NLM
Gomes MI, Caeiro F, Figueiredo F, Rodrigues LCPHJ, Pestana D. Corrected-Hill versus partially reduced-bias value-at-risk estimation [Internet]. Communications in Statistics - Simulation and Computation. 2020 ; 49( 4):[citado 2025 out. 08 ] Available from: https://doi.org/10.1080/03610918.2018.1489053
Vancouver
Gomes MI, Caeiro F, Figueiredo F, Rodrigues LCPHJ, Pestana D. Corrected-Hill versus partially reduced-bias value-at-risk estimation [Internet]. Communications in Statistics - Simulation and Computation. 2020 ; 49( 4):[citado 2025 out. 08 ] Available from: https://doi.org/10.1080/03610918.2018.1489053
Artigo de periodico
Sensitivity analysis and choosing between alternative polytomous IRT models using bayesian model comparison criteria (2019)
Silva, Marcelo A. da; Bazán Guzmán, Jorge Luis ; Huggins-Manley, Anne Corinne
Fonte: Communications in Statistics - Simulation and Computation. Unidade: ICMC
Assuntos: INFERÊNCIA BAYESIANA, CRÉDITO, RESPOSTAS, TEORIA DE RESPOSTA AO ITEM, MODELOS, MÉTODO DE MONTE CARLO, SIMULAÇÃO DE SISTEMAS
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ABNT
SILVA, Marcelo A. da e BAZÁN GUZMÁN, Jorge Luis e HUGGINS-MANLEY, Anne Corinne. Sensitivity analysis and choosing between alternative polytomous IRT models using bayesian model comparison criteria. Communications in Statistics - Simulation and Computation, v. Fe 2019, n. 2, p. 601-620, 2019Tradução . . Disponível em: https://doi.org/10.1080/03610918.2017.1390126. Acesso em: 08 out. 2025.
APA
Silva, M. A. da, Bazán Guzmán, J. L., & Huggins-Manley, A. C. (2019). Sensitivity analysis and choosing between alternative polytomous IRT models using bayesian model comparison criteria. Communications in Statistics - Simulation and Computation, Fe 2019( 2), 601-620. doi:10.1080/03610918.2017.1390126
NLM
Silva MA da, Bazán Guzmán JL, Huggins-Manley AC. Sensitivity analysis and choosing between alternative polytomous IRT models using bayesian model comparison criteria [Internet]. Communications in Statistics - Simulation and Computation. 2019 ; Fe 2019( 2): 601-620.[citado 2025 out. 08 ] Available from: https://doi.org/10.1080/03610918.2017.1390126
Vancouver
Silva MA da, Bazán Guzmán JL, Huggins-Manley AC. Sensitivity analysis and choosing between alternative polytomous IRT models using bayesian model comparison criteria [Internet]. Communications in Statistics - Simulation and Computation. 2019 ; Fe 2019( 2): 601-620.[citado 2025 out. 08 ] Available from: https://doi.org/10.1080/03610918.2017.1390126
Artigo de periodico
A new useful four-parameter extension of the Gumbel distribution: properties, regression model and applications using the GAMLSS framework (2019)
Alizadeh, Morad ; Ramires, Thiago G ; Mirmostafaee, S. M. T. K.; Samizadeh, Maryam; Ortega, Edwin Moises Marcos
Fonte: Communications in Statistics - Simulation and Computation. Unidade: ESALQ
Assuntos: REGRESSÃO LINEAR, VEROSSIMILHANÇA, DISTRIBUIÇÕES (PROBABILIDADE)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ALIZADEH, Morad et al. A new useful four-parameter extension of the Gumbel distribution: properties, regression model and applications using the GAMLSS framework. Communications in Statistics - Simulation and Computation, v. 48, n. 6, p. 1746–1767, 2019Tradução . . Disponível em: https://doi.org/10.1080/03610918.2018.1423691. Acesso em: 08 out. 2025.
APA
Alizadeh, M., Ramires, T. G., Mirmostafaee, S. M. T. K., Samizadeh, M., & Ortega, E. M. M. (2019). A new useful four-parameter extension of the Gumbel distribution: properties, regression model and applications using the GAMLSS framework. Communications in Statistics - Simulation and Computation, 48( 6), 1746–1767. doi:10.1080/03610918.2018.1423691
NLM
Alizadeh M, Ramires TG, Mirmostafaee SMTK, Samizadeh M, Ortega EMM. A new useful four-parameter extension of the Gumbel distribution: properties, regression model and applications using the GAMLSS framework [Internet]. Communications in Statistics - Simulation and Computation. 2019 ; 48( 6): 1746–1767.[citado 2025 out. 08 ] Available from: https://doi.org/10.1080/03610918.2018.1423691
Vancouver
Alizadeh M, Ramires TG, Mirmostafaee SMTK, Samizadeh M, Ortega EMM. A new useful four-parameter extension of the Gumbel distribution: properties, regression model and applications using the GAMLSS framework [Internet]. Communications in Statistics - Simulation and Computation. 2019 ; 48( 6): 1746–1767.[citado 2025 out. 08 ] Available from: https://doi.org/10.1080/03610918.2018.1423691
Artigo de periodico
Model choice in separate families: a comparison between the FBST and the Cox test (2019)
Assane, Cachimo Combo; Pereira, Basilio de Braganca; Pereira, Carlos Alberto de Bragança
Fonte: Communications in Statistics - Simulation and Computation. Unidade: IME
Assuntos: INFERÊNCIA BAYESIANA, TESTES DE HIPÓTESES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ASSANE, Cachimo Combo e PEREIRA, Basilio de Braganca e PEREIRA, Carlos Alberto de Bragança. Model choice in separate families: a comparison between the FBST and the Cox test. Communications in Statistics - Simulation and Computation, v. 48, n. 9, p. 2641–2654, 2019Tradução . . Disponível em: https://doi.org/10.1080/03610918.2018.1458139. Acesso em: 08 out. 2025.
APA
Assane, C. C., Pereira, B. de B., & Pereira, C. A. de B. (2019). Model choice in separate families: a comparison between the FBST and the Cox test. Communications in Statistics - Simulation and Computation, 48( 9), 2641–2654. doi:10.1080/03610918.2018.1458139
NLM
Assane CC, Pereira B de B, Pereira CA de B. Model choice in separate families: a comparison between the FBST and the Cox test [Internet]. Communications in Statistics - Simulation and Computation. 2019 ; 48( 9): 2641–2654.[citado 2025 out. 08 ] Available from: https://doi.org/10.1080/03610918.2018.1458139
Vancouver
Assane CC, Pereira B de B, Pereira CA de B. Model choice in separate families: a comparison between the FBST and the Cox test [Internet]. Communications in Statistics - Simulation and Computation. 2019 ; 48( 9): 2641–2654.[citado 2025 out. 08 ] Available from: https://doi.org/10.1080/03610918.2018.1458139
Artigo de periodico
An adaptive control chart for the process location based on ranked set sampling (2019)
Santore, Fabiola; Taconeli, Cesar Augusto; Lara, Idemauro Antonio Rodrigues de
Fonte: Communications in Statistics - Simulation and Computation. Unidade: ESALQ
Assuntos: AMOSTRAGEM, CONTROLE ESTATÍSTICO DO PROCESSO, GRÁFICOS, MÉTODO DE MONTE CARLO, SIMULAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SANTORE, Fabiola e TACONELI, Cesar Augusto e LARA, Idemauro Antonio Rodrigues de. An adaptive control chart for the process location based on ranked set sampling. Communications in Statistics - Simulation and Computation, p. 1-19, 2019Tradução . . Disponível em: https://doi.org/10.1080/03610918.2019.1622722. Acesso em: 08 out. 2025.
APA
Santore, F., Taconeli, C. A., & Lara, I. A. R. de. (2019). An adaptive control chart for the process location based on ranked set sampling. Communications in Statistics - Simulation and Computation, 1-19. doi:10.1080/03610918.2019.1622722
NLM
Santore F, Taconeli CA, Lara IAR de. An adaptive control chart for the process location based on ranked set sampling [Internet]. Communications in Statistics - Simulation and Computation. 2019 ; 1-19.[citado 2025 out. 08 ] Available from: https://doi.org/10.1080/03610918.2019.1622722
Vancouver
Santore F, Taconeli CA, Lara IAR de. An adaptive control chart for the process location based on ranked set sampling [Internet]. Communications in Statistics - Simulation and Computation. 2019 ; 1-19.[citado 2025 out. 08 ] Available from: https://doi.org/10.1080/03610918.2019.1622722
Artigo de periodico
Adaptive rejection sampling with fixed number of nodes (2019)
Martino, L.; Louzada, Francisco
Fonte: Communications in Statistics - Simulation and Computation. Unidade: ICMC
Assuntos: ESTATÍSTICA, INFERÊNCIA BAYESIANA, ESTATÍSTICA APLICADA, INFERÊNCIA ESTATÍSTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MARTINO, L. e LOUZADA, Francisco. Adaptive rejection sampling with fixed number of nodes. Communications in Statistics - Simulation and Computation, v. 48, n. 3, p. 655-665, 2019Tradução . . Disponível em: https://doi.org/10.1080/03610918.2017.1395039. Acesso em: 08 out. 2025.
APA
Martino, L., & Louzada, F. (2019). Adaptive rejection sampling with fixed number of nodes. Communications in Statistics - Simulation and Computation, 48( 3), 655-665. doi:10.1080/03610918.2017.1395039
NLM
Martino L, Louzada F. Adaptive rejection sampling with fixed number of nodes [Internet]. Communications in Statistics - Simulation and Computation. 2019 ; 48( 3): 655-665.[citado 2025 out. 08 ] Available from: https://doi.org/10.1080/03610918.2017.1395039
Vancouver
Martino L, Louzada F. Adaptive rejection sampling with fixed number of nodes [Internet]. Communications in Statistics - Simulation and Computation. 2019 ; 48( 3): 655-665.[citado 2025 out. 08 ] Available from: https://doi.org/10.1080/03610918.2017.1395039
Artigo de periodico
A Bernoulli autoregressive moving average model applied to rainfall occurrence (2019)
Milani, Eder Angelo ; Hartmann, Marcelo ; Andrade, Marinho Gomes de ; Diniz, Carlos Alberto Ribeiro
Fonte: Communications in Statistics - Simulation and Computation. Unidade: ICMC
Assuntos: DISTRIBUIÇÕES (PROBABILIDADE), MODELOS EM SÉRIES TEMPORAIS, CHUVA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MILANI, Eder Angelo et al. A Bernoulli autoregressive moving average model applied to rainfall occurrence. Communications in Statistics - Simulation and Computation, v. 48, n. 9, p. 2743-2756, 2019Tradução . . Disponível em: https://doi.org/10.1080/03610918.2018.1468453. Acesso em: 08 out. 2025.
APA
Milani, E. A., Hartmann, M., Andrade, M. G. de, & Diniz, C. A. R. (2019). A Bernoulli autoregressive moving average model applied to rainfall occurrence. Communications in Statistics - Simulation and Computation, 48( 9), 2743-2756. doi:10.1080/03610918.2018.1468453
NLM
Milani EA, Hartmann M, Andrade MG de, Diniz CAR. A Bernoulli autoregressive moving average model applied to rainfall occurrence [Internet]. Communications in Statistics - Simulation and Computation. 2019 ; 48( 9): 2743-2756.[citado 2025 out. 08 ] Available from: https://doi.org/10.1080/03610918.2018.1468453
Vancouver
Milani EA, Hartmann M, Andrade MG de, Diniz CAR. A Bernoulli autoregressive moving average model applied to rainfall occurrence [Internet]. Communications in Statistics - Simulation and Computation. 2019 ; 48( 9): 2743-2756.[citado 2025 out. 08 ] Available from: https://doi.org/10.1080/03610918.2018.1468453

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