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CORDEIRO, Gauss Moutinho e DEMÉTRIO, Clarice Garcia Borges e MORAL, Rafael de Andrade. Modelos lineares generalizados e aplicações. . São Paulo: Blucher. . Acesso em: 19 jan. 2026. , 2024
APA
Cordeiro, G. M., Demétrio, C. G. B., & Moral, R. de A. (2024). Modelos lineares generalizados e aplicações. São Paulo: Blucher.
NLM
Cordeiro GM, Demétrio CGB, Moral R de A. Modelos lineares generalizados e aplicações. 2024 ;[citado 2026 jan. 19 ]
Vancouver
Cordeiro GM, Demétrio CGB, Moral R de A. Modelos lineares generalizados e aplicações. 2024 ;[citado 2026 jan. 19 ]
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PRATAVIERA, Fabio et al. A new flexible regression model with application to recovery probability Covid-19 patients. Journal of Applied Statistics, v. 51, n. 5, p. 826-844, 2024Tradução . . Disponível em: https://doi.org/10.1080/02664763.2022.2163229. Acesso em: 19 jan. 2026.
APA
Prataviera, F., Hashimoto, E. M., Ortega, E. M. M., Cordeiro, G. M., Cancho, V. G., & Vila, R. (2024). A new flexible regression model with application to recovery probability Covid-19 patients. Journal of Applied Statistics, 51( 5), 826-844. doi:10.1080/02664763.2022.2163229
NLM
Prataviera F, Hashimoto EM, Ortega EMM, Cordeiro GM, Cancho VG, Vila R. A new flexible regression model with application to recovery probability Covid-19 patients [Internet]. Journal of Applied Statistics. 2024 ; 51( 5): 826-844.[citado 2026 jan. 19 ] Available from: https://doi.org/10.1080/02664763.2022.2163229
Vancouver
Prataviera F, Hashimoto EM, Ortega EMM, Cordeiro GM, Cancho VG, Vila R. A new flexible regression model with application to recovery probability Covid-19 patients [Internet]. Journal of Applied Statistics. 2024 ; 51( 5): 826-844.[citado 2026 jan. 19 ] Available from: https://doi.org/10.1080/02664763.2022.2163229
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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: 19 jan. 2026.
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 2026 jan. 19 ] 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 2026 jan. 19 ] Available from: https://doi.org/10.1080/03610918.2024.2370985
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VIGAS, Valdemiro Piedade et al. The generalized odd log-logistic-G regression with interval-censored survival data. Journal of Applied Statistics, v. 51, n. 9, p. 2024, 2024Tradução . . Disponível em: https://doi.org/10.1080/02664763.2023.2230533. Acesso em: 19 jan. 2026.
APA
Vigas, V. P., Ortega, E. M. M., Suzuki, A. K., Cordeiro, G. M., & Santos Junior, P. C. (2024). The generalized odd log-logistic-G regression with interval-censored survival data. Journal of Applied Statistics, 51( 9), 2024. doi:10.1080/02664763.2023.2230533
NLM
Vigas VP, Ortega EMM, Suzuki AK, Cordeiro GM, Santos Junior PC. The generalized odd log-logistic-G regression with interval-censored survival data [Internet]. Journal of Applied Statistics. 2024 ; 51( 9): 2024.[citado 2026 jan. 19 ] Available from: https://doi.org/10.1080/02664763.2023.2230533
Vancouver
Vigas VP, Ortega EMM, Suzuki AK, Cordeiro GM, Santos Junior PC. The generalized odd log-logistic-G regression with interval-censored survival data [Internet]. Journal of Applied Statistics. 2024 ; 51( 9): 2024.[citado 2026 jan. 19 ] Available from: https://doi.org/10.1080/02664763.2023.2230533
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RIBEIRO, Tatiane Fontana et al. Forecasting the proportion of stored energy using the unit Burr XII quantile autoregressive moving average model. Computational and Applied Mathematics, v. 43, n. artigo 27, p. 1-28, 2024Tradução . . Disponível em: https://doi.org/10.1007/s40314-023-02513-5. Acesso em: 19 jan. 2026.
APA
Ribeiro, T. F., Peña-Ramírez, F. A., Guerra, R. R., Alencar, A. P., & Cordeiro, G. M. (2024). Forecasting the proportion of stored energy using the unit Burr XII quantile autoregressive moving average model. Computational and Applied Mathematics, 43( artigo 27), 1-28. doi:10.1007/s40314-023-02513-5
NLM
Ribeiro TF, Peña-Ramírez FA, Guerra RR, Alencar AP, Cordeiro GM. Forecasting the proportion of stored energy using the unit Burr XII quantile autoregressive moving average model [Internet]. Computational and Applied Mathematics. 2024 ; 43( artigo 27): 1-28.[citado 2026 jan. 19 ] Available from: https://doi.org/10.1007/s40314-023-02513-5
Vancouver
Ribeiro TF, Peña-Ramírez FA, Guerra RR, Alencar AP, Cordeiro GM. Forecasting the proportion of stored energy using the unit Burr XII quantile autoregressive moving average model [Internet]. Computational and Applied Mathematics. 2024 ; 43( artigo 27): 1-28.[citado 2026 jan. 19 ] Available from: https://doi.org/10.1007/s40314-023-02513-5
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HASHIMOTO, Elisabeth Mie et al. The re-parameterized inverse Gaussian regression to model length of stay of COVID-19 patients in the public health care system of Piracicaba, Brazil. Journal of Applied Statistics, v. 50, n. 8, p. 1665-1685, 2023Tradução . . Disponível em: https://doi.org/10.1080/02664763.2022.2036707. Acesso em: 19 jan. 2026.
APA
Hashimoto, E. M., Ortega, E. M. M., Cordeiro, G. M., Cancho, V. G., & Silva, I. (2023). The re-parameterized inverse Gaussian regression to model length of stay of COVID-19 patients in the public health care system of Piracicaba, Brazil. Journal of Applied Statistics, 50( 8), 1665-1685. doi:10.1080/02664763.2022.2036707
NLM
Hashimoto EM, Ortega EMM, Cordeiro GM, Cancho VG, Silva I. The re-parameterized inverse Gaussian regression to model length of stay of COVID-19 patients in the public health care system of Piracicaba, Brazil [Internet]. Journal of Applied Statistics. 2023 ; 50( 8): 1665-1685.[citado 2026 jan. 19 ] Available from: https://doi.org/10.1080/02664763.2022.2036707
Vancouver
Hashimoto EM, Ortega EMM, Cordeiro GM, Cancho VG, Silva I. The re-parameterized inverse Gaussian regression to model length of stay of COVID-19 patients in the public health care system of Piracicaba, Brazil [Internet]. Journal of Applied Statistics. 2023 ; 50( 8): 1665-1685.[citado 2026 jan. 19 ] Available from: https://doi.org/10.1080/02664763.2022.2036707
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CANCHO, Vicente Garibay et al. A survival regression with cure fraction applied to cervical cancer. Computational Statistics, v. 38, p. 403-418, 2023Tradução . . Disponível em: https://doi.org/10.1007/s00180-022-01233-4. Acesso em: 19 jan. 2026.
APA
Cancho, V. G., Bedia, E. C., Cordeiro, G. M., Prataviera, F., Ortega, E. M. M., & Santo, A. P. J. do E. (2023). A survival regression with cure fraction applied to cervical cancer. Computational Statistics, 38, 403-418. doi:10.1007/s00180-022-01233-4
NLM
Cancho VG, Bedia EC, Cordeiro GM, Prataviera F, Ortega EMM, Santo APJ do E. A survival regression with cure fraction applied to cervical cancer [Internet]. Computational Statistics. 2023 ; 38 403-418.[citado 2026 jan. 19 ] Available from: https://doi.org/10.1007/s00180-022-01233-4
Vancouver
Cancho VG, Bedia EC, Cordeiro GM, Prataviera F, Ortega EMM, Santo APJ do E. A survival regression with cure fraction applied to cervical cancer [Internet]. Computational Statistics. 2023 ; 38 403-418.[citado 2026 jan. 19 ] Available from: https://doi.org/10.1007/s00180-022-01233-4
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PESCIM, Rodrigo Rossetto et al. The destructive zero-inflated power series cure rate models for carcinogenesis studies. Revstat Statistical Journal, v. 20, n. 5, p. 587-604, 2022Tradução . . Disponível em: https://doi.org/10.57805/revstat.v20i5.387. Acesso em: 19 jan. 2026.
APA
Pescim, R. R., Suzuki, A. K., Cordeiro, G. M., & Ortega, E. M. M. (2022). The destructive zero-inflated power series cure rate models for carcinogenesis studies. Revstat Statistical Journal, 20( 5), 587-604. doi:10.57805/revstat.v20i5.387
NLM
Pescim RR, Suzuki AK, Cordeiro GM, Ortega EMM. The destructive zero-inflated power series cure rate models for carcinogenesis studies [Internet]. Revstat Statistical Journal. 2022 ; 20( 5): 587-604.[citado 2026 jan. 19 ] Available from: https://doi.org/10.57805/revstat.v20i5.387
Vancouver
Pescim RR, Suzuki AK, Cordeiro GM, Ortega EMM. The destructive zero-inflated power series cure rate models for carcinogenesis studies [Internet]. Revstat Statistical Journal. 2022 ; 20( 5): 587-604.[citado 2026 jan. 19 ] Available from: https://doi.org/10.57805/revstat.v20i5.387
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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PRATAVIERA, Fabio et al. A new regression model for rates and proportions data with applications. Journal of Applied Statistics, v. 49, n. 2, p. 4137-4161, 2022Tradução . . Disponível em: https://doi.org/10.1080/02664763.2021.1973385. Acesso em: 19 jan. 2026.
APA
Prataviera, F., Cordeiro, G. M., Ortega, E. M. M., Hashimoto, E. M., & Cancho, V. G. (2022). A new regression model for rates and proportions data with applications. Journal of Applied Statistics, 49( 2), 4137-4161. doi:10.1080/02664763.2021.1973385
NLM
Prataviera F, Cordeiro GM, Ortega EMM, Hashimoto EM, Cancho VG. A new regression model for rates and proportions data with applications [Internet]. Journal of Applied Statistics. 2022 ; 49( 2): 4137-4161.[citado 2026 jan. 19 ] Available from: https://doi.org/10.1080/02664763.2021.1973385
Vancouver
Prataviera F, Cordeiro GM, Ortega EMM, Hashimoto EM, Cancho VG. A new regression model for rates and proportions data with applications [Internet]. Journal of Applied Statistics. 2022 ; 49( 2): 4137-4161.[citado 2026 jan. 19 ] Available from: https://doi.org/10.1080/02664763.2021.1973385
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RIBEIRO, Tatiane Fontana et al. Essays on the unit Burr XII distribution: regression and time series models. 2022, Anais.. São Paulo: ABE, 2022. Disponível em: https://app.eventize.com.br/upload/004449/files/Sinape2022_FINAL.pdf. Acesso em: 19 jan. 2026.
APA
Ribeiro, T. F., Cordeiro, G. M., Peña-Ramírez, F. A., Guerra, R. R., & Alencar, A. P. (2022). Essays on the unit Burr XII distribution: regression and time series models. In Livro de Resumos. São Paulo: ABE. Recuperado de https://app.eventize.com.br/upload/004449/files/Sinape2022_FINAL.pdf
NLM
Ribeiro TF, Cordeiro GM, Peña-Ramírez FA, Guerra RR, Alencar AP. Essays on the unit Burr XII distribution: regression and time series models [Internet]. Livro de Resumos. 2022 ;[citado 2026 jan. 19 ] Available from: https://app.eventize.com.br/upload/004449/files/Sinape2022_FINAL.pdf
Vancouver
Ribeiro TF, Cordeiro GM, Peña-Ramírez FA, Guerra RR, Alencar AP. Essays on the unit Burr XII distribution: regression and time series models [Internet]. Livro de Resumos. 2022 ;[citado 2026 jan. 19 ] Available from: https://app.eventize.com.br/upload/004449/files/Sinape2022_FINAL.pdf
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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VIGAS, Valdemiro Piedade et al. The new Neyman type A generalized odd loglogistic- G-family with cure fraction. Journal of Applied Statistics, v. 49, n. 11, p. 2805-2824, 2022Tradução . . Disponível em: https://doi.org/10.1080/02664763.2021.1922994. Acesso em: 19 jan. 2026.
APA
Vigas, V. P., Ortega, E. M. M., Cordeiro, G. M., Suzuki, A. K., & Silva, G. O. (2022). The new Neyman type A generalized odd loglogistic- G-family with cure fraction. Journal of Applied Statistics, 49( 11), 2805-2824. doi:10.1080/02664763.2021.1922994
NLM
Vigas VP, Ortega EMM, Cordeiro GM, Suzuki AK, Silva GO. The new Neyman type A generalized odd loglogistic- G-family with cure fraction [Internet]. Journal of Applied Statistics. 2022 ; 49( 11): 2805-2824.[citado 2026 jan. 19 ] Available from: https://doi.org/10.1080/02664763.2021.1922994
Vancouver
Vigas VP, Ortega EMM, Cordeiro GM, Suzuki AK, Silva GO. The new Neyman type A generalized odd loglogistic- G-family with cure fraction [Internet]. Journal of Applied Statistics. 2022 ; 49( 11): 2805-2824.[citado 2026 jan. 19 ] Available from: https://doi.org/10.1080/02664763.2021.1922994
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BENITES, Yuri Rojas et al. A new regression model on the unit interval: properties, estimation, and application. Mathematics, v. 10, n. 17, p. 1-17, 2022Tradução . . Disponível em: https://doi.org/10.3390/math10173198. Acesso em: 19 jan. 2026.
APA
Benites, Y. R., Cancho, V. G., Ortega, E. M. M., Vila, R., & Cordeiro, G. M. (2022). A new regression model on the unit interval: properties, estimation, and application. Mathematics, 10( 17), 1-17. doi:10.3390/math10173198
NLM
Benites YR, Cancho VG, Ortega EMM, Vila R, Cordeiro GM. A new regression model on the unit interval: properties, estimation, and application [Internet]. Mathematics. 2022 ; 10( 17): 1-17.[citado 2026 jan. 19 ] Available from: https://doi.org/10.3390/math10173198
Vancouver
Benites YR, Cancho VG, Ortega EMM, Vila R, Cordeiro GM. A new regression model on the unit interval: properties, estimation, and application [Internet]. Mathematics. 2022 ; 10( 17): 1-17.[citado 2026 jan. 19 ] Available from: https://doi.org/10.3390/math10173198
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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VASCONCELOS, Julio Cezar Souza et al. A random effect regression based on the odd log-logistic generalized inverse Gaussian distribution. Journal of Applied Statistics, 2022Tradução . . Disponível em: https://doi.org/10.1080/02664763.2021.2024515. Acesso em: 19 jan. 2026.
APA
Vasconcelos, J. C. S., Cordeiro, G. M., Ortega, E. M. M., & Silva, G. (2022). A random effect regression based on the odd log-logistic generalized inverse Gaussian distribution. Journal of Applied Statistics. doi:10.1080/02664763.2021.2024515
NLM
Vasconcelos JCS, Cordeiro GM, Ortega EMM, Silva G. A random effect regression based on the odd log-logistic generalized inverse Gaussian distribution [Internet]. Journal of Applied Statistics. 2022 ;[citado 2026 jan. 19 ] Available from: https://doi.org/10.1080/02664763.2021.2024515
Vancouver
Vasconcelos JCS, Cordeiro GM, Ortega EMM, Silva G. A random effect regression based on the odd log-logistic generalized inverse Gaussian distribution [Internet]. Journal of Applied Statistics. 2022 ;[citado 2026 jan. 19 ] Available from: https://doi.org/10.1080/02664763.2021.2024515
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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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: 19 jan. 2026.
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 2026 jan. 19 ] 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 2026 jan. 19 ] Available from: https://doi.org/10.1080/03610918.2020.1788585
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PRATAVIERA, Fábio et al. The Logit Exponentiated Power Exponential Regression with Applications. Annals of Data Science, 2021Tradução . . Disponível em: https://doi.org/10.1007/s40745-021-00347-8. Acesso em: 19 jan. 2026.
APA
Prataviera, F., Batista, A. M., Ortega, E. M. M., Cordeiro, G. M., & Silva, B. M. (2021). The Logit Exponentiated Power Exponential Regression with Applications. Annals of Data Science. doi:10.1007/s40745-021-00347-8
NLM
Prataviera F, Batista AM, Ortega EMM, Cordeiro GM, Silva BM. The Logit Exponentiated Power Exponential Regression with Applications [Internet]. Annals of Data Science. 2021 ;[citado 2026 jan. 19 ] Available from: https://doi.org/10.1007/s40745-021-00347-8
Vancouver
Prataviera F, Batista AM, Ortega EMM, Cordeiro GM, Silva BM. The Logit Exponentiated Power Exponential Regression with Applications [Internet]. Annals of Data Science. 2021 ;[citado 2026 jan. 19 ] Available from: https://doi.org/10.1007/s40745-021-00347-8
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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: 19 jan. 2026.
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 2026 jan. 19 ] 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 2026 jan. 19 ] Available from: https://doi.org/10.1214/19-BJPS458
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
VASCONCELOS, Julio Cezar Souza et al. A regression model for extreme events and the presence of bimodality with application to energy generation data. IET Renewable Power Generation, v. 15, p. 452–461, 2021Tradução . . Disponível em: https://doi.org/10.1049/rpg2.12043. Acesso em: 19 jan. 2026.
APA
Vasconcelos, J. C. S., Cordeiro, G. M., Ortega, E. M. M., & Ribeiro, J. G. (2021). A regression model for extreme events and the presence of bimodality with application to energy generation data. IET Renewable Power Generation, 15, 452–461. doi:10.1049/rpg2.12043
NLM
Vasconcelos JCS, Cordeiro GM, Ortega EMM, Ribeiro JG. A regression model for extreme events and the presence of bimodality with application to energy generation data [Internet]. IET Renewable Power Generation. 2021 ; 15 452–461.[citado 2026 jan. 19 ] Available from: https://doi.org/10.1049/rpg2.12043
Vancouver
Vasconcelos JCS, Cordeiro GM, Ortega EMM, Ribeiro JG. A regression model for extreme events and the presence of bimodality with application to energy generation data [Internet]. IET Renewable Power Generation. 2021 ; 15 452–461.[citado 2026 jan. 19 ] Available from: https://doi.org/10.1049/rpg2.12043
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
VASCONCELOS, Julio Cezar Souza et al. A new heteroscedastic regression to analyze mass loss of wood in civil construction in Brazil. Journal of Applied Statistics, 2021Tradução . . Disponível em: https://doi.org/10.1080/02664763.2021.1890001. Acesso em: 19 jan. 2026.
APA
Vasconcelos, J. C. S., Ortega, E. M. M., Vasconcelos, J. S., Cordeiro, G. M., Vivan, A. L., & Biaggioni, M. A. M. (2021). A new heteroscedastic regression to analyze mass loss of wood in civil construction in Brazil. Journal of Applied Statistics. doi:10.1080/02664763.2021.1890001
NLM
Vasconcelos JCS, Ortega EMM, Vasconcelos JS, Cordeiro GM, Vivan AL, Biaggioni MAM. A new heteroscedastic regression to analyze mass loss of wood in civil construction in Brazil [Internet]. Journal of Applied Statistics. 2021 ;[citado 2026 jan. 19 ] Available from: https://doi.org/10.1080/02664763.2021.1890001
Vancouver
Vasconcelos JCS, Ortega EMM, Vasconcelos JS, Cordeiro GM, Vivan AL, Biaggioni MAM. A new heteroscedastic regression to analyze mass loss of wood in civil construction in Brazil [Internet]. Journal of Applied Statistics. 2021 ;[citado 2026 jan. 19 ] Available from: https://doi.org/10.1080/02664763.2021.1890001
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CAVALCANTI, Alexsandro Bezerra et al. Improved score tests for exponential family nonlinear models. Communications in Statistics - Theory and Methods, v. 50, n. 15, p. 3731-3745, 2021Tradução . . Disponível em: https://doi.org/10.1080/03610926.2019.1710202. Acesso em: 19 jan. 2026.
APA
Cavalcanti, A. B., Botter, D. A., Barroso, L. P., Santos-Neto, M., & Cordeiro, G. M. (2021). Improved score tests for exponential family nonlinear models. Communications in Statistics - Theory and Methods, 50( 15), 3731-3745. doi:10.1080/03610926.2019.1710202
NLM
Cavalcanti AB, Botter DA, Barroso LP, Santos-Neto M, Cordeiro GM. Improved score tests for exponential family nonlinear models [Internet]. Communications in Statistics - Theory and Methods. 2021 ; 50( 15): 3731-3745.[citado 2026 jan. 19 ] Available from: https://doi.org/10.1080/03610926.2019.1710202
Vancouver
Cavalcanti AB, Botter DA, Barroso LP, Santos-Neto M, Cordeiro GM. Improved score tests for exponential family nonlinear models [Internet]. Communications in Statistics - Theory and Methods. 2021 ; 50( 15): 3731-3745.[citado 2026 jan. 19 ] Available from: https://doi.org/10.1080/03610926.2019.1710202
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CANCHO, Vicente Garibay et al. Bayesian survival model induced by frailty for lifetime with long-term survivors. Statistica Neerlandica, v. 75, n. 3, p. 299-323, 2021Tradução . . Disponível em: https://doi.org/10.1111/stan.12236. Acesso em: 19 jan. 2026.
APA
Cancho, V. G., Barriga, G. D. C., Cordeiro, G. M., Ortega, E. M. M., & Suzuki, A. K. (2021). Bayesian survival model induced by frailty for lifetime with long-term survivors. Statistica Neerlandica, 75( 3), 299-323. doi:10.1111/stan.12236
NLM
Cancho VG, Barriga GDC, Cordeiro GM, Ortega EMM, Suzuki AK. Bayesian survival model induced by frailty for lifetime with long-term survivors [Internet]. Statistica Neerlandica. 2021 ; 75( 3): 299-323.[citado 2026 jan. 19 ] Available from: https://doi.org/10.1111/stan.12236
Vancouver
Cancho VG, Barriga GDC, Cordeiro GM, Ortega EMM, Suzuki AK. Bayesian survival model induced by frailty for lifetime with long-term survivors [Internet]. Statistica Neerlandica. 2021 ; 75( 3): 299-323.[citado 2026 jan. 19 ] Available from: https://doi.org/10.1111/stan.12236