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ABNT
OLIVEIRA, Ricardo Puziol de et al. Discrete and continuous bivariate lifetime models in presence of cure rate: a comparative study under Bayesian approach. Journal of Applied Statistics, v. 46, n. 3, p. 449-467, 2019Tradução . . Disponível em: https://doi.org/10.1080/02664763.2018.1495701. Acesso em: 27 jul. 2024.
APA
Oliveira, R. P. de, Achcar, J. A., Peralta, D., & Mazucheli, J. (2019). Discrete and continuous bivariate lifetime models in presence of cure rate: a comparative study under Bayesian approach. Journal of Applied Statistics, 46( 3), 449-467. doi:10.1080/02664763.2018.1495701
NLM
Oliveira RP de, Achcar JA, Peralta D, Mazucheli J. Discrete and continuous bivariate lifetime models in presence of cure rate: a comparative study under Bayesian approach [Internet]. Journal of Applied Statistics. 2019 ; 46( 3): 449-467.[citado 2024 jul. 27 ] Available from: https://doi.org/10.1080/02664763.2018.1495701
Vancouver
Oliveira RP de, Achcar JA, Peralta D, Mazucheli J. Discrete and continuous bivariate lifetime models in presence of cure rate: a comparative study under Bayesian approach [Internet]. Journal of Applied Statistics. 2019 ; 46( 3): 449-467.[citado 2024 jul. 27 ] Available from: https://doi.org/10.1080/02664763.2018.1495701
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ABNT
CUEVAS, José Rafael Tovar e YELA, Jennyfer Portilla e ACHCAR, Jorge Alberto. A method to select bivariate copula functions. Revista Colombiana de Estadística, v. 42, n. 1, p. 61-80, 2019Tradução . . Disponível em: https://doi.org/10.15446/rce.v42n1.71780. Acesso em: 27 jul. 2024.
APA
Cuevas, J. R. T., Yela, J. P., & Achcar, J. A. (2019). A method to select bivariate copula functions. Revista Colombiana de Estadística, 42( 1), 61-80. doi:10.15446/rce.v42n1.71780
NLM
Cuevas JRT, Yela JP, Achcar JA. A method to select bivariate copula functions [Internet]. Revista Colombiana de Estadística. 2019 ; 42( 1): 61-80.[citado 2024 jul. 27 ] Available from: https://doi.org/10.15446/rce.v42n1.71780
Vancouver
Cuevas JRT, Yela JP, Achcar JA. A method to select bivariate copula functions [Internet]. Revista Colombiana de Estadística. 2019 ; 42( 1): 61-80.[citado 2024 jul. 27 ] Available from: https://doi.org/10.15446/rce.v42n1.71780
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
OPRIME, Pedro Carlos et al. Acceptance X-bar chart considering the sample distribution of capability indices, C ˆ p and C ˆ p k: a practical and economical approach. International Journal of Quality and Reliability Management, v. 36, n. 6, p. 875-894, 2019Tradução . . Disponível em: https://doi.org/10.1108/ijqrm-11-2017-0239. Acesso em: 27 jul. 2024.
APA
Oprime, P. C., Lizarelli, F. L., Pimenta, M. L., & Achcar, J. A. (2019). Acceptance X-bar chart considering the sample distribution of capability indices, C ˆ p and C ˆ p k: a practical and economical approach. International Journal of Quality and Reliability Management, 36( 6), 875-894. doi:10.1108/ijqrm-11-2017-0239
NLM
Oprime PC, Lizarelli FL, Pimenta ML, Achcar JA. Acceptance X-bar chart considering the sample distribution of capability indices, C ˆ p and C ˆ p k: a practical and economical approach [Internet]. International Journal of Quality and Reliability Management. 2019 ; 36( 6): 875-894.[citado 2024 jul. 27 ] Available from: https://doi.org/10.1108/ijqrm-11-2017-0239
Vancouver
Oprime PC, Lizarelli FL, Pimenta ML, Achcar JA. Acceptance X-bar chart considering the sample distribution of capability indices, C ˆ p and C ˆ p k: a practical and economical approach [Internet]. International Journal of Quality and Reliability Management. 2019 ; 36( 6): 875-894.[citado 2024 jul. 27 ] Available from: https://doi.org/10.1108/ijqrm-11-2017-0239
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
OLIVEIRA, Ricardo Puziol de e ACHCAR, Jorge Alberto. Basu-Dhar’s bivariate geometric distribution in presence of censored data and covariates: some computational aspects. Electronic Journal of Applied Statistical Analysis, v. 11, n. 1, p. 108-136, 2018Tradução . . Disponível em: https://doi.org/10.1285/i20705948v11n1p108. Acesso em: 27 jul. 2024.
APA
Oliveira, R. P. de, & Achcar, J. A. (2018). Basu-Dhar’s bivariate geometric distribution in presence of censored data and covariates: some computational aspects. Electronic Journal of Applied Statistical Analysis, 11( 1), 108-136. doi:10.1285/i20705948v11n1p108
NLM
Oliveira RP de, Achcar JA. Basu-Dhar’s bivariate geometric distribution in presence of censored data and covariates: some computational aspects [Internet]. Electronic Journal of Applied Statistical Analysis. 2018 ; 11( 1): 108-136.[citado 2024 jul. 27 ] Available from: https://doi.org/10.1285/i20705948v11n1p108
Vancouver
Oliveira RP de, Achcar JA. Basu-Dhar’s bivariate geometric distribution in presence of censored data and covariates: some computational aspects [Internet]. Electronic Journal of Applied Statistical Analysis. 2018 ; 11( 1): 108-136.[citado 2024 jul. 27 ] Available from: https://doi.org/10.1285/i20705948v11n1p108
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BONETTE, Luiz Rodrigo e AZZOLINI JÚNIOR, Walter e ACHCAR, Jorge Alberto. A study of the temporal flow of passenger and cargo transport in a Brazilian region: use of different statistical models for better forecasts and discovery of important factors that affect the efficiency of the Brazilian air transport system. International Journal of Modern Research in Engineering and Technology (IJMRET), v. 3, n. 7, p. 35-56, 2018Tradução . . Disponível em: https://www.academia.edu/38109212/A_study_of_the_temporal_flow_of_passenger_and_cargo_transport_in_a_Brazilian_region_use_of_different_statistical_models_for_better_forecasts_and_discovery_of_important_factors_that_affect_the_efficiency_of_the_Brazilian_air_transport_system. Acesso em: 27 jul. 2024.
APA
Bonette, L. R., Azzolini Júnior, W., & Achcar, J. A. (2018). A study of the temporal flow of passenger and cargo transport in a Brazilian region: use of different statistical models for better forecasts and discovery of important factors that affect the efficiency of the Brazilian air transport system. International Journal of Modern Research in Engineering and Technology (IJMRET), 3( 7), 35-56. Recuperado de https://www.academia.edu/38109212/A_study_of_the_temporal_flow_of_passenger_and_cargo_transport_in_a_Brazilian_region_use_of_different_statistical_models_for_better_forecasts_and_discovery_of_important_factors_that_affect_the_efficiency_of_the_Brazilian_air_transport_system
NLM
Bonette LR, Azzolini Júnior W, Achcar JA. A study of the temporal flow of passenger and cargo transport in a Brazilian region: use of different statistical models for better forecasts and discovery of important factors that affect the efficiency of the Brazilian air transport system [Internet]. International Journal of Modern Research in Engineering and Technology (IJMRET). 2018 ; 3( 7): 35-56.[citado 2024 jul. 27 ] Available from: https://www.academia.edu/38109212/A_study_of_the_temporal_flow_of_passenger_and_cargo_transport_in_a_Brazilian_region_use_of_different_statistical_models_for_better_forecasts_and_discovery_of_important_factors_that_affect_the_efficiency_of_the_Brazilian_air_transport_system
Vancouver
Bonette LR, Azzolini Júnior W, Achcar JA. A study of the temporal flow of passenger and cargo transport in a Brazilian region: use of different statistical models for better forecasts and discovery of important factors that affect the efficiency of the Brazilian air transport system [Internet]. International Journal of Modern Research in Engineering and Technology (IJMRET). 2018 ; 3( 7): 35-56.[citado 2024 jul. 27 ] Available from: https://www.academia.edu/38109212/A_study_of_the_temporal_flow_of_passenger_and_cargo_transport_in_a_Brazilian_region_use_of_different_statistical_models_for_better_forecasts_and_discovery_of_important_factors_that_affect_the_efficiency_of_the_Brazilian_air_transport_system
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RAMOS, Pedro L. et al. Bayesian analysis of the generalized gamma distribution using non-informative priors. Statistics, v. 51, n. 4, p. 824-843, 2017Tradução . . Disponível em: https://doi.org/10.1080/02331888.2017.1327532. Acesso em: 27 jul. 2024.
APA
Ramos, P. L., Achcar, J. A., Moala, F. A., Ramos, E., & Louzada, F. (2017). Bayesian analysis of the generalized gamma distribution using non-informative priors. Statistics, 51( 4), 824-843. doi:10.1080/02331888.2017.1327532
NLM
Ramos PL, Achcar JA, Moala FA, Ramos E, Louzada F. Bayesian analysis of the generalized gamma distribution using non-informative priors [Internet]. Statistics. 2017 ; 51( 4): 824-843.[citado 2024 jul. 27 ] Available from: https://doi.org/10.1080/02331888.2017.1327532
Vancouver
Ramos PL, Achcar JA, Moala FA, Ramos E, Louzada F. Bayesian analysis of the generalized gamma distribution using non-informative priors [Internet]. Statistics. 2017 ; 51( 4): 824-843.[citado 2024 jul. 27 ] Available from: https://doi.org/10.1080/02331888.2017.1327532
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ABNT
MARTINEZ, Edson Zangiacomi e ACHCAR, Jorge Alberto. Bayesian bivariate generalized Lindley model for survival data with a cure fraction. Computer Methods and Programs in Biomedicine, v. 117, n. 2, p. 145–157, 2014Tradução . . Disponível em: https://doi.org/10.1016/j.cmpb.2014.07.011. Acesso em: 27 jul. 2024.
APA
Martinez, E. Z., & Achcar, J. A. (2014). Bayesian bivariate generalized Lindley model for survival data with a cure fraction. Computer Methods and Programs in Biomedicine, 117( 2), 145–157. doi:10.1016/j.cmpb.2014.07.011
NLM
Martinez EZ, Achcar JA. Bayesian bivariate generalized Lindley model for survival data with a cure fraction [Internet]. Computer Methods and Programs in Biomedicine. 2014 ; 117( 2): 145–157.[citado 2024 jul. 27 ] Available from: https://doi.org/10.1016/j.cmpb.2014.07.011
Vancouver
Martinez EZ, Achcar JA. Bayesian bivariate generalized Lindley model for survival data with a cure fraction [Internet]. Computer Methods and Programs in Biomedicine. 2014 ; 117( 2): 145–157.[citado 2024 jul. 27 ] Available from: https://doi.org/10.1016/j.cmpb.2014.07.011
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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: 27 jul. 2024.
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 2024 jul. 27 ] 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 2024 jul. 27 ] Available from: https://doi.org/10.1214/11-bjps138
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ABNT
AOKI, Reiko et al. Bayesian analysis of null intercept errors-in-variables regression for pretest/post-test data. Journal of Applied Statistics, v. 30, n. 1, p. 3-12, 2003Tradução . . Disponível em: https://doi.org/10.1080/0266476022000018466. Acesso em: 27 jul. 2024.
APA
Aoki, R., Achcar, J. A., Bolfarine, H., & Singer, J. da M. (2003). Bayesian analysis of null intercept errors-in-variables regression for pretest/post-test data. Journal of Applied Statistics, 30( 1), 3-12. doi:10.1080/0266476022000018466
NLM
Aoki R, Achcar JA, Bolfarine H, Singer J da M. Bayesian analysis of null intercept errors-in-variables regression for pretest/post-test data [Internet]. Journal of Applied Statistics. 2003 ; 30( 1): 3-12.[citado 2024 jul. 27 ] Available from: https://doi.org/10.1080/0266476022000018466
Vancouver
Aoki R, Achcar JA, Bolfarine H, Singer J da M. Bayesian analysis of null intercept errors-in-variables regression for pretest/post-test data [Internet]. Journal of Applied Statistics. 2003 ; 30( 1): 3-12.[citado 2024 jul. 27 ] Available from: https://doi.org/10.1080/0266476022000018466