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Artigo de periodico
Semiparametric transformation model: a hierarchical Bayesian approach (2023)
Achcar, Jorge Alberto; Barili, Emerson; Martinez, Edson Zangiacomi
Source: Model Assisted Statistics and Applications. Unidade: FMRP
Subjects: DADOS CENSURADOS, INFERÊNCIA BAYESIANA, MÉTODOS MCMC
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ACHCAR, Jorge Alberto e BARILI, Emerson e MARTINEZ, Edson Zangiacomi. Semiparametric transformation model: a hierarchical Bayesian approach. Model Assisted Statistics and Applications, v. 18, p. 245-256, 2023Tradução . . Disponível em: https://doi.org/10.3233/MAS-221408. Acesso em: 01 set. 2024.
APA
Achcar, J. A., Barili, E., & Martinez, E. Z. (2023). Semiparametric transformation model: a hierarchical Bayesian approach. Model Assisted Statistics and Applications, 18, 245-256. doi:10.3233/MAS-221408
NLM
Achcar JA, Barili E, Martinez EZ. Semiparametric transformation model: a hierarchical Bayesian approach [Internet]. Model Assisted Statistics and Applications. 2023 ; 18 245-256.[citado 2024 set. 01 ] Available from: https://doi.org/10.3233/MAS-221408
Vancouver
Achcar JA, Barili E, Martinez EZ. Semiparametric transformation model: a hierarchical Bayesian approach [Internet]. Model Assisted Statistics and Applications. 2023 ; 18 245-256.[citado 2024 set. 01 ] Available from: https://doi.org/10.3233/MAS-221408
Artigo de periodico
Climate Change Data: Use of an Autoregressive (AR) Model in Presence of Change Points under a Bayesian Approach (2023)
Achcar, Jorge Alberto; Barili, Emerson
Source: International Journal of Environment and Climate Change. Unidade: FMRP
Subjects: CLIMA, MÉTODOS MCMC, INFERÊNCIA BAYESIANA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ACHCAR, Jorge Alberto e BARILI, Emerson. Climate Change Data: Use of an Autoregressive (AR) Model in Presence of Change Points under a Bayesian Approach. International Journal of Environment and Climate Change, v. 13, n. 6, p. 23-47, 2023Tradução . . Disponível em: https://doi.org/10.9734/ijecc/2023/v13i61795. Acesso em: 01 set. 2024.
APA
Achcar, J. A., & Barili, E. (2023). Climate Change Data: Use of an Autoregressive (AR) Model in Presence of Change Points under a Bayesian Approach. International Journal of Environment and Climate Change, 13( 6), 23-47. doi:10.9734/ijecc/2023/v13i61795
NLM
Achcar JA, Barili E. Climate Change Data: Use of an Autoregressive (AR) Model in Presence of Change Points under a Bayesian Approach [Internet]. International Journal of Environment and Climate Change. 2023 ; 13( 6): 23-47.[citado 2024 set. 01 ] Available from: https://doi.org/10.9734/ijecc/2023/v13i61795
Vancouver
Achcar JA, Barili E. Climate Change Data: Use of an Autoregressive (AR) Model in Presence of Change Points under a Bayesian Approach [Internet]. International Journal of Environment and Climate Change. 2023 ; 13( 6): 23-47.[citado 2024 set. 01 ] Available from: https://doi.org/10.9734/ijecc/2023/v13i61795
Artigo de periodico
A new class of bivariate Sushila distributions in presence of right-censored and cure fraction (2023)
Oliveira, Ricardo Puziol de; Peres, Marcos Vinicius de Oliveira; Achcar, Jorge Alberto; Martinez, Edson Zangiacomi
Source: Brazilian Journal of Probability and Statistics. Unidade: FMRP
Subjects: FRAÇÕES CONTÍNUAS, INFERÊNCIA BAYESIANA, SIMULAÇÃO (ESTATÍSTICA), MÉTODOS MCMC
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
OLIVEIRA, Ricardo Puziol de et al. A new class of bivariate Sushila distributions in presence of right-censored and cure fraction. Brazilian Journal of Probability and Statistics, v. 37, n. 1, p. 55-72, 2023Tradução . . Disponível em: https://doi.org/10.1214/22-BJPS560. Acesso em: 01 set. 2024.
APA
Oliveira, R. P. de, Peres, M. V. de O., Achcar, J. A., & Martinez, E. Z. (2023). A new class of bivariate Sushila distributions in presence of right-censored and cure fraction. Brazilian Journal of Probability and Statistics, 37( 1), 55-72. doi:10.1214/22-BJPS560
NLM
Oliveira RP de, Peres MV de O, Achcar JA, Martinez EZ. A new class of bivariate Sushila distributions in presence of right-censored and cure fraction [Internet]. Brazilian Journal of Probability and Statistics. 2023 ; 37( 1): 55-72.[citado 2024 set. 01 ] Available from: https://doi.org/10.1214/22-BJPS560
Vancouver
Oliveira RP de, Peres MV de O, Achcar JA, Martinez EZ. A new class of bivariate Sushila distributions in presence of right-censored and cure fraction [Internet]. Brazilian Journal of Probability and Statistics. 2023 ; 37( 1): 55-72.[citado 2024 set. 01 ] Available from: https://doi.org/10.1214/22-BJPS560
Artigo de periodico
Annual mean temperature and rain precipitation in North America using NHPP to detect climate changes (2023)
Achcar, Jorge Alberto; Rodrigues, Eliane R.; Oliveira, Ricardo Puziol de; Barili, Emerson
Source: International Journal of Environment and Climate Change. Unidade: FMRP
Subjects: MUDANÇA CLIMÁTICA, INFERÊNCIA BAYESIANA, MÉTODOS MCMC
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ACHCAR, Jorge Alberto et al. Annual mean temperature and rain precipitation in North America using NHPP to detect climate changes. International Journal of Environment and Climate Change, v. 13, n. 8, p. 141-161, 2023Tradução . . Disponível em: https://doi.org/10.9734/IJECC/2023/v13i81940. Acesso em: 01 set. 2024.
APA
Achcar, J. A., Rodrigues, E. R., Oliveira, R. P. de, & Barili, E. (2023). Annual mean temperature and rain precipitation in North America using NHPP to detect climate changes. International Journal of Environment and Climate Change, 13( 8), 141-161. doi:10.9734/IJECC/2023/v13i81940
NLM
Achcar JA, Rodrigues ER, Oliveira RP de, Barili E. Annual mean temperature and rain precipitation in North America using NHPP to detect climate changes [Internet]. International Journal of Environment and Climate Change. 2023 ; 13( 8): 141-161.[citado 2024 set. 01 ] Available from: https://doi.org/10.9734/IJECC/2023/v13i81940
Vancouver
Achcar JA, Rodrigues ER, Oliveira RP de, Barili E. Annual mean temperature and rain precipitation in North America using NHPP to detect climate changes [Internet]. International Journal of Environment and Climate Change. 2023 ; 13( 8): 141-161.[citado 2024 set. 01 ] Available from: https://doi.org/10.9734/IJECC/2023/v13i81940
Artigo de periodico
Exponentiated weibull models applied to medical data in presence of right-censoring, cure fraction and covariates (2022)
Martinez, Edson Zangiacomi ; Freitas, Bruno Caparroz Lopes de; Achcar, Jorge Alberto ; Aragon, Davi Casale; Peres, Marcos Vinícius de Oliveira
Source: Statistics, Optimization & Information Computing. Unidades: FMRP, ICMC
Subjects: PROBABILIDADE, ANÁLISE DE SOBREVIVÊNCIA, DADOS CENSURADOS, INFERÊNCIA BAYESIANA, MÉTODOS MCMC
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MARTINEZ, Edson Zangiacomi et al. Exponentiated weibull models applied to medical data in presence of right-censoring, cure fraction and covariates. Statistics, Optimization & Information Computing, v. 10, n. 2, p. 548-571, 2022Tradução . . Disponível em: https://doi.org/10.19139/soic-2310-5070-1266. Acesso em: 01 set. 2024.
APA
Martinez, E. Z., Freitas, B. C. L. de, Achcar, J. A., Aragon, D. C., & Peres, M. V. de O. (2022). Exponentiated weibull models applied to medical data in presence of right-censoring, cure fraction and covariates. Statistics, Optimization & Information Computing, 10( 2), 548-571. doi:10.19139/soic-2310-5070-1266
NLM
Martinez EZ, Freitas BCL de, Achcar JA, Aragon DC, Peres MV de O. Exponentiated weibull models applied to medical data in presence of right-censoring, cure fraction and covariates [Internet]. Statistics, Optimization & Information Computing. 2022 ; 10( 2): 548-571.[citado 2024 set. 01 ] Available from: https://doi.org/10.19139/soic-2310-5070-1266
Vancouver
Martinez EZ, Freitas BCL de, Achcar JA, Aragon DC, Peres MV de O. Exponentiated weibull models applied to medical data in presence of right-censoring, cure fraction and covariates [Internet]. Statistics, Optimization & Information Computing. 2022 ; 10( 2): 548-571.[citado 2024 set. 01 ] Available from: https://doi.org/10.19139/soic-2310-5070-1266
Artigo de periodico
Bayesian estimation for the stable distributions in the presence of covariates with applications in clinical issues (2022)
Achcar, Jorge Alberto ; Souza, Roberto Molina de; Bussola, Daiane; Moala, Fernando A.
Source: Pesquisa Operacional. Unidade: FMRP
Subjects: DISTRIBUIÇÕES (PROBABILIDADE), INFERÊNCIA BAYESIANA, MÉTODOS MCMC, VEROSSIMILHANÇA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ACHCAR, Jorge Alberto et al. Bayesian estimation for the stable distributions in the presence of covariates with applications in clinical issues. Pesquisa Operacional, v. 42, 2022Tradução . . Disponível em: https://doi.org/10.1590/0101-7438.2022.042.00254533. Acesso em: 01 set. 2024.
APA
Achcar, J. A., Souza, R. M. de, Bussola, D., & Moala, F. A. (2022). Bayesian estimation for the stable distributions in the presence of covariates with applications in clinical issues. Pesquisa Operacional, 42. doi:10.1590/0101-7438.2022.042.00254533
NLM
Achcar JA, Souza RM de, Bussola D, Moala FA. Bayesian estimation for the stable distributions in the presence of covariates with applications in clinical issues [Internet]. Pesquisa Operacional. 2022 ; 42[citado 2024 set. 01 ] Available from: https://doi.org/10.1590/0101-7438.2022.042.00254533
Vancouver
Achcar JA, Souza RM de, Bussola D, Moala FA. Bayesian estimation for the stable distributions in the presence of covariates with applications in clinical issues [Internet]. Pesquisa Operacional. 2022 ; 42[citado 2024 set. 01 ] Available from: https://doi.org/10.1590/0101-7438.2022.042.00254533
Artigo de periodico
Climate change: use of non-homogeneous poisson processes for climate data in presence of a change-point (2022)
Achcar, Jorge Alberto ; Oliveira, Ricardo Puziol de
Source: Environmental Modeling & Assessment. Unidade: FMRP
Subjects: TEMPERATURA, PRECIPITAÇÃO, MÉTODOS MCMC, MUDANÇA CLIMÁTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ACHCAR, Jorge Alberto e OLIVEIRA, Ricardo Puziol de. Climate change: use of non-homogeneous poisson processes for climate data in presence of a change-point. Environmental Modeling & Assessment, v. 27, p. 385-398, 2022Tradução . . Disponível em: https://doi.org/10.1007/s10666-021-09797-z. Acesso em: 01 set. 2024.
APA
Achcar, J. A., & Oliveira, R. P. de. (2022). Climate change: use of non-homogeneous poisson processes for climate data in presence of a change-point. Environmental Modeling & Assessment, 27, 385-398. doi:10.1007/s10666-021-09797-z
NLM
Achcar JA, Oliveira RP de. Climate change: use of non-homogeneous poisson processes for climate data in presence of a change-point [Internet]. Environmental Modeling & Assessment. 2022 ; 27 385-398.[citado 2024 set. 01 ] Available from: https://doi.org/10.1007/s10666-021-09797-z
Vancouver
Achcar JA, Oliveira RP de. Climate change: use of non-homogeneous poisson processes for climate data in presence of a change-point [Internet]. Environmental Modeling & Assessment. 2022 ; 27 385-398.[citado 2024 set. 01 ] Available from: https://doi.org/10.1007/s10666-021-09797-z
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: 01 set. 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 set. 01 ] 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 set. 01 ] Available from: https://doi.org/10.6339/21-JDS991
Artigo de periodico
The incidence of tuberculosis in Brazil from 2001 to 2018: use of polynomial regression combined with a stochastic volatility model (2021)
Achcar, Jorge Alberto ; Oliveira, Ricardo Puziol de; Barili, Emerson
Source: International Journal of Clinical Biostatistics and Biometrics. Unidade: FMRP
Subjects: MÉTODOS MCMC, REGRESSÃO LINEAR, MODELOS PARA PROCESSOS ESTOCÁSTICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ACHCAR, Jorge Alberto e OLIVEIRA, Ricardo Puziol de e BARILI, Emerson. The incidence of tuberculosis in Brazil from 2001 to 2018: use of polynomial regression combined with a stochastic volatility model. International Journal of Clinical Biostatistics and Biometrics, v. 7, n. 1, 2021Tradução . . Disponível em: https://doi.org/10.23937/2469-5831/1510035. Acesso em: 01 set. 2024.
APA
Achcar, J. A., Oliveira, R. P. de, & Barili, E. (2021). The incidence of tuberculosis in Brazil from 2001 to 2018: use of polynomial regression combined with a stochastic volatility model. International Journal of Clinical Biostatistics and Biometrics, 7( 1). doi:10.23937/2469-5831/1510035
NLM
Achcar JA, Oliveira RP de, Barili E. The incidence of tuberculosis in Brazil from 2001 to 2018: use of polynomial regression combined with a stochastic volatility model [Internet]. International Journal of Clinical Biostatistics and Biometrics. 2021 ; 7( 1):[citado 2024 set. 01 ] Available from: https://doi.org/10.23937/2469-5831/1510035
Vancouver
Achcar JA, Oliveira RP de, Barili E. The incidence of tuberculosis in Brazil from 2001 to 2018: use of polynomial regression combined with a stochastic volatility model [Internet]. International Journal of Clinical Biostatistics and Biometrics. 2021 ; 7( 1):[citado 2024 set. 01 ] Available from: https://doi.org/10.23937/2469-5831/1510035
Artigo de periodico
Use of stochastic volatility models in epidemiological data: application to a dengue time series in São Paulo city, Brazil (2020)
Achcar, Jorge Alberto ; Oliveira, Ricardo Puziol de; Barili, Emerson
Source: Journal of Biostatistics and Epidemiology. Unidade: FMRP
Subjects: DENGUE, MÉTODOS MCMC, MODELOS EPIDEMIOLOGICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ACHCAR, Jorge Alberto e OLIVEIRA, Ricardo Puziol de e BARILI, Emerson. Use of stochastic volatility models in epidemiological data: application to a dengue time series in São Paulo city, Brazil. Journal of Biostatistics and Epidemiology, v. 6, n. 1, p. 19-29, 2020Tradução . . Disponível em: https://doi.org/10.18502/jbe.v6i1.4755. Acesso em: 01 set. 2024.
APA
Achcar, J. A., Oliveira, R. P. de, & Barili, E. (2020). Use of stochastic volatility models in epidemiological data: application to a dengue time series in São Paulo city, Brazil. Journal of Biostatistics and Epidemiology, 6( 1), 19-29. doi:10.18502/jbe.v6i1.4755
NLM
Achcar JA, Oliveira RP de, Barili E. Use of stochastic volatility models in epidemiological data: application to a dengue time series in São Paulo city, Brazil [Internet]. Journal of Biostatistics and Epidemiology. 2020 ; 6( 1): 19-29.[citado 2024 set. 01 ] Available from: https://doi.org/10.18502/jbe.v6i1.4755
Vancouver
Achcar JA, Oliveira RP de, Barili E. Use of stochastic volatility models in epidemiological data: application to a dengue time series in São Paulo city, Brazil [Internet]. Journal of Biostatistics and Epidemiology. 2020 ; 6( 1): 19-29.[citado 2024 set. 01 ] Available from: https://doi.org/10.18502/jbe.v6i1.4755
Artigo de periodico
Compositional statistical models under a bayesian approach: an application to traffic accident data in federal highways in Brazil (2020)
Oliveira, Ricardo Puziol de; Achcar, Jorge Alberto
Source: Pesquisa Operacional. Unidade: FMRP
Subjects: ACIDENTES, MORTE, RODOVIAS FEDERAIS, MÉTODOS MCMC
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
OLIVEIRA, Ricardo Puziol de e ACHCAR, Jorge Alberto. Compositional statistical models under a bayesian approach: an application to traffic accident data in federal highways in Brazil. Pesquisa Operacional, v. 40, 2020Tradução . . Disponível em: https://doi.org/10.1590/0101-7438.2020.040.00230462. Acesso em: 01 set. 2024.
APA
Oliveira, R. P. de, & Achcar, J. A. (2020). Compositional statistical models under a bayesian approach: an application to traffic accident data in federal highways in Brazil. Pesquisa Operacional, 40. doi:10.1590/0101-7438.2020.040.00230462
NLM
Oliveira RP de, Achcar JA. Compositional statistical models under a bayesian approach: an application to traffic accident data in federal highways in Brazil [Internet]. Pesquisa Operacional. 2020 ; 40[citado 2024 set. 01 ] Available from: https://doi.org/10.1590/0101-7438.2020.040.00230462
Vancouver
Oliveira RP de, Achcar JA. Compositional statistical models under a bayesian approach: an application to traffic accident data in federal highways in Brazil [Internet]. Pesquisa Operacional. 2020 ; 40[citado 2024 set. 01 ] Available from: https://doi.org/10.1590/0101-7438.2020.040.00230462
Trabalho de evento-resumo
Determination of optimum medical cut points for continuous covariates in lifetime regression models (2019)
Icuma, Tatiana Reis ; Achcar, Jorge Alberto ; Martinez, Edson Zangiacomi ; Davarzani, Nasser
Source: Resumos. Conference titles: Workshop em Análise de Sobrevivência e Aplicações - WASA. Unidade: FMRP
Subjects: MÉTODOS MCMC, PROBABILIDADE, PROGNÓSTICO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ICUMA, Tatiana Reis et al. Determination of optimum medical cut points for continuous covariates in lifetime regression models. 2019, Anais.. Piracicaba: ESALQ-USP, 2019. . Acesso em: 01 set. 2024.
APA
Icuma, T. R., Achcar, J. A., Martinez, E. Z., & Davarzani, N. (2019). Determination of optimum medical cut points for continuous covariates in lifetime regression models. In Resumos. Piracicaba: ESALQ-USP.
NLM
Icuma TR, Achcar JA, Martinez EZ, Davarzani N. Determination of optimum medical cut points for continuous covariates in lifetime regression models. Resumos. 2019 ;[citado 2024 set. 01 ]
Vancouver
Icuma TR, Achcar JA, Martinez EZ, Davarzani N. Determination of optimum medical cut points for continuous covariates in lifetime regression models. Resumos. 2019 ;[citado 2024 set. 01 ]
Artigo de periodico
Use of a discrete Sushila distribution in the analysis of right-censored lifetime data (2019)
Oliveira, Ricardo Puziol de ; Peres, Marcos Vinícius de Oliveira ; Martinez, Edson Zangiacomi ; Achcar, Jorge Alberto
Source: Model Assisted Statistics and Applications. Unidade: FMRP
Subjects: INFERÊNCIA BAYESIANA, SIMULAÇÃO (ESTATÍSTICA), MÉTODOS MCMC
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
OLIVEIRA, Ricardo Puziol de et al. Use of a discrete Sushila distribution in the analysis of right-censored lifetime data. Model Assisted Statistics and Applications, v. 14, n. 3, p. 255-268, 2019Tradução . . Disponível em: https://doi.org/10.3233/mas-190465. Acesso em: 01 set. 2024.
APA
Oliveira, R. P. de, Peres, M. V. de O., Martinez, E. Z., & Achcar, J. A. (2019). Use of a discrete Sushila distribution in the analysis of right-censored lifetime data. Model Assisted Statistics and Applications, 14( 3), 255-268. doi:10.3233/mas-190465
NLM
Oliveira RP de, Peres MV de O, Martinez EZ, Achcar JA. Use of a discrete Sushila distribution in the analysis of right-censored lifetime data [Internet]. Model Assisted Statistics and Applications. 2019 ; 14( 3): 255-268.[citado 2024 set. 01 ] Available from: https://doi.org/10.3233/mas-190465
Vancouver
Oliveira RP de, Peres MV de O, Martinez EZ, Achcar JA. Use of a discrete Sushila distribution in the analysis of right-censored lifetime data [Internet]. Model Assisted Statistics and Applications. 2019 ; 14( 3): 255-268.[citado 2024 set. 01 ] Available from: https://doi.org/10.3233/mas-190465
Artigo de periodico
Determination of optimum medical cut points for continuous covariates in lifetime regression models (2018)
Icuma, Tatiana Reis ; Achcar, Jorge Alberto ; Martinez, Edson Zangiacomi ; Davarzani, Nasser
Source: Model Assisted Statistics and Applications. Unidade: FMRP
Subjects: MÉTODOS MCMC, PROBABILIDADE, PROGNÓSTICO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ICUMA, Tatiana Reis et al. Determination of optimum medical cut points for continuous covariates in lifetime regression models. Model Assisted Statistics and Applications, v. 13, n. 2, p. 141-159, 2018Tradução . . Disponível em: https://doi.org/10.3233/MAS-180426. Acesso em: 01 set. 2024.
APA
Icuma, T. R., Achcar, J. A., Martinez, E. Z., & Davarzani, N. (2018). Determination of optimum medical cut points for continuous covariates in lifetime regression models. Model Assisted Statistics and Applications, 13( 2), 141-159. doi:10.3233/MAS-180426
NLM
Icuma TR, Achcar JA, Martinez EZ, Davarzani N. Determination of optimum medical cut points for continuous covariates in lifetime regression models [Internet]. Model Assisted Statistics and Applications. 2018 ; 13( 2): 141-159.[citado 2024 set. 01 ] Available from: https://doi.org/10.3233/MAS-180426
Vancouver
Icuma TR, Achcar JA, Martinez EZ, Davarzani N. Determination of optimum medical cut points for continuous covariates in lifetime regression models [Internet]. Model Assisted Statistics and Applications. 2018 ; 13( 2): 141-159.[citado 2024 set. 01 ] Available from: https://doi.org/10.3233/MAS-180426
Artigo de periodico
Maximum likelihood and Bayesian estimators for the double poisson distribution (2018)
Aragon, Davi C.; Achcar, Jorge Alberto ; Martinez, Edson Zangiacomi
Source: Journal of Statistical Theory and Practice. Unidade: FMRP
Subjects: ESTATÍSTICA, MÉTODOS MCMC
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ARAGON, Davi C. e ACHCAR, Jorge Alberto e MARTINEZ, Edson Zangiacomi. Maximum likelihood and Bayesian estimators for the double poisson distribution. Journal of Statistical Theory and Practice, v. 12, n. 4, p. 886-911, 2018Tradução . . Disponível em: https://doi.org/10.1080/15598608.2018.1489919. Acesso em: 01 set. 2024.
APA
Aragon, D. C., Achcar, J. A., & Martinez, E. Z. (2018). Maximum likelihood and Bayesian estimators for the double poisson distribution. Journal of Statistical Theory and Practice, 12( 4), 886-911. doi:10.1080/15598608.2018.1489919
NLM
Aragon DC, Achcar JA, Martinez EZ. Maximum likelihood and Bayesian estimators for the double poisson distribution [Internet]. Journal of Statistical Theory and Practice. 2018 ; 12( 4): 886-911.[citado 2024 set. 01 ] Available from: https://doi.org/10.1080/15598608.2018.1489919
Vancouver
Aragon DC, Achcar JA, Martinez EZ. Maximum likelihood and Bayesian estimators for the double poisson distribution [Internet]. Journal of Statistical Theory and Practice. 2018 ; 12( 4): 886-911.[citado 2024 set. 01 ] Available from: https://doi.org/10.1080/15598608.2018.1489919
Artigo de periodico
Seasonal hydrological and meteorological time series (2018)
Cuervo, Edilberto Cepeda; Achcar, Jorge Alberto ; Andrade, Marinho Gomes de
Source: Earth Sciences Research Journal. Unidades: ICMC, FMRP
Subjects: INFERÊNCIA BAYESIANA, MODELOS EM SÉRIES TEMPORAIS, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, MÉTODOS MCMC, HIDROLOGIA, METEOROLOGIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CUERVO, Edilberto Cepeda e ACHCAR, Jorge Alberto e ANDRADE, Marinho Gomes de. Seasonal hydrological and meteorological time series. Earth Sciences Research Journal, v. 22, n. Ju 2018, p. 83-90, 2018Tradução . . Disponível em: https://doi.org/10.15446/esrj.v22n2.65577. Acesso em: 01 set. 2024.
APA
Cuervo, E. C., Achcar, J. A., & Andrade, M. G. de. (2018). Seasonal hydrological and meteorological time series. Earth Sciences Research Journal, 22( Ju 2018), 83-90. doi:10.15446/esrj.v22n2.65577
NLM
Cuervo EC, Achcar JA, Andrade MG de. Seasonal hydrological and meteorological time series [Internet]. Earth Sciences Research Journal. 2018 ; 22( Ju 2018): 83-90.[citado 2024 set. 01 ] Available from: https://doi.org/10.15446/esrj.v22n2.65577
Vancouver
Cuervo EC, Achcar JA, Andrade MG de. Seasonal hydrological and meteorological time series [Internet]. Earth Sciences Research Journal. 2018 ; 22( Ju 2018): 83-90.[citado 2024 set. 01 ] Available from: https://doi.org/10.15446/esrj.v22n2.65577
Artigo de periodico
Robust linear regression models: use of a stable distribution for the response data (2013)
Achcar, Jorge Alberto ; Achcar, Angela; Martinez, Edson Zangiacomi
Source: Open Journal of Statistics. Unidade: FMRP
Subjects: SIMULAÇÃO, DISCRIMINAÇÃO COGNITIVA, REDES NEURAIS, MÉTODOS MCMC, SOFTWARE LIVRE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ACHCAR, Jorge Alberto e ACHCAR, Angela e MARTINEZ, Edson Zangiacomi. Robust linear regression models: use of a stable distribution for the response data. Open Journal of Statistics, v. 3, n. 6, p. 409-416, 2013Tradução . . Disponível em: https://doi.org/10.4236/ojs.2013.36048. Acesso em: 01 set. 2024.
APA
Achcar, J. A., Achcar, A., & Martinez, E. Z. (2013). Robust linear regression models: use of a stable distribution for the response data. Open Journal of Statistics, 3( 6), 409-416. doi:10.4236/ojs.2013.36048
NLM
Achcar JA, Achcar A, Martinez EZ. Robust linear regression models: use of a stable distribution for the response data [Internet]. Open Journal of Statistics. 2013 ; 3( 6): 409-416.[citado 2024 set. 01 ] Available from: https://doi.org/10.4236/ojs.2013.36048
Vancouver
Achcar JA, Achcar A, Martinez EZ. Robust linear regression models: use of a stable distribution for the response data [Internet]. Open Journal of Statistics. 2013 ; 3( 6): 409-416.[citado 2024 set. 01 ] Available from: https://doi.org/10.4236/ojs.2013.36048
Trabalho de evento-anais periodico
A seasonal and heteroscedastic gamma model for hydrological time series: a Bayesian approach (2012)
Cuervo, Edilberto Cepeda; Andrade, Marinho Gomes de ; Achcar, Jorge Alberto
Source: AIP Conference Proceedings. Conference titles: Brazilian Meeting on Bayesian Statistics - EBEB. Unidades: ICMC, FMRP
Subjects: ANÁLISE DE SÉRIES TEMPORAIS, HIDROLOGIA, DISTRIBUIÇÕES (PROBABILIDADE), INFERÊNCIA BAYESIANA, MÉTODOS MCMC
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CUERVO, Edilberto Cepeda e ANDRADE, Marinho Gomes de e ACHCAR, Jorge Alberto. A seasonal and heteroscedastic gamma model for hydrological time series: a Bayesian approach. AIP Conference Proceedings. College Park, Maryland: American Institute of Physics - AIP. Disponível em: https://doi.org/10.1063/1.4759593. Acesso em: 01 set. 2024. , 2012
APA
Cuervo, E. C., Andrade, M. G. de, & Achcar, J. A. (2012). A seasonal and heteroscedastic gamma model for hydrological time series: a Bayesian approach. AIP Conference Proceedings. College Park, Maryland: American Institute of Physics - AIP. doi:10.1063/1.4759593
NLM
Cuervo EC, Andrade MG de, Achcar JA. A seasonal and heteroscedastic gamma model for hydrological time series: a Bayesian approach [Internet]. AIP Conference Proceedings. 2012 ; 1490 97-107.[citado 2024 set. 01 ] Available from: https://doi.org/10.1063/1.4759593
Vancouver
Cuervo EC, Andrade MG de, Achcar JA. A seasonal and heteroscedastic gamma model for hydrological time series: a Bayesian approach [Internet]. AIP Conference Proceedings. 2012 ; 1490 97-107.[citado 2024 set. 01 ] Available from: https://doi.org/10.1063/1.4759593
Artigo de periodico
Bivariate stochastic volatility models applied to air pollution data (2008)
Achcar, Jorge Alberto ; Zozolotto, Henrique Ceretta; Rodrigues, Eliane R.
Source: Revista Brasileira de Biometria. Unidade: ICMC
Subjects: MODELOS PARA PROCESSOS ESTOCÁSTICOS, INFERÊNCIA BAYESIANA, MÉTODOS MCMC
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ACHCAR, Jorge Alberto e ZOZOLOTTO, Henrique Ceretta e RODRIGUES, Eliane R. Bivariate stochastic volatility models applied to air pollution data. Revista Brasileira de Biometria, v. 26, n. 4, p. 67-81, 2008Tradução . . Acesso em: 01 set. 2024.
APA
Achcar, J. A., Zozolotto, H. C., & Rodrigues, E. R. (2008). Bivariate stochastic volatility models applied to air pollution data. Revista Brasileira de Biometria, 26( 4), 67-81.
NLM
Achcar JA, Zozolotto HC, Rodrigues ER. Bivariate stochastic volatility models applied to air pollution data. Revista Brasileira de Biometria. 2008 ; 26( 4): 67-81.[citado 2024 set. 01 ]
Vancouver
Achcar JA, Zozolotto HC, Rodrigues ER. Bivariate stochastic volatility models applied to air pollution data. Revista Brasileira de Biometria. 2008 ; 26( 4): 67-81.[citado 2024 set. 01 ]
Trabalho de evento-resumo
Modelos bayesianos para estimação de retas de regressão: multivariado e de efeitos mistos (2006)
Tsuchiya, Nilton; Castello, Luciana; Achcar, Jorge Alberto ; Martinez, Edson Zangiacomi; Crescêncio, Júlio César; Gallo Júnior, Lourenço
Source: Resumos. Conference titles: Simpósio Nacional de Probabilidade e Estatística SINAPE. Unidades: FMRP, ICMC
Subjects: INFERÊNCIA BAYESIANA, MÉTODOS MCMC
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
TSUCHIYA, Nilton et al. Modelos bayesianos para estimação de retas de regressão: multivariado e de efeitos mistos. 2006, Anais.. São Paulo: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, 2006. . Acesso em: 01 set. 2024.
APA
Tsuchiya, N., Castello, L., Achcar, J. A., Martinez, E. Z., Crescêncio, J. C., & Gallo Júnior, L. (2006). Modelos bayesianos para estimação de retas de regressão: multivariado e de efeitos mistos. In Resumos. São Paulo: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo.
NLM
Tsuchiya N, Castello L, Achcar JA, Martinez EZ, Crescêncio JC, Gallo Júnior L. Modelos bayesianos para estimação de retas de regressão: multivariado e de efeitos mistos. Resumos. 2006 ;[citado 2024 set. 01 ]
Vancouver
Tsuchiya N, Castello L, Achcar JA, Martinez EZ, Crescêncio JC, Gallo Júnior L. Modelos bayesianos para estimação de retas de regressão: multivariado e de efeitos mistos. Resumos. 2006 ;[citado 2024 set. 01 ]

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