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MARQUES, Felipe Tumenas e LOUZADA, Francisco. Formação estatística nos programas de pós-graduação brasileiros: análise das disciplinas oferecidas. Educação e Pesquisa, v. 49, p. 1-25, 2023Tradução . . Disponível em: https://doi.org/10.1590/S1678-4634202349249290. Acesso em: 03 out. 2023.
APA
Marques, F. T., & Louzada, F. (2023). Formação estatística nos programas de pós-graduação brasileiros: análise das disciplinas oferecidas. Educação e Pesquisa, 49, 1-25. doi:10.1590/S1678-4634202349249290
NLM
Marques FT, Louzada F. Formação estatística nos programas de pós-graduação brasileiros: análise das disciplinas oferecidas [Internet]. Educação e Pesquisa. 2023 ; 49 1-25.[citado 2023 out. 03 ] Available from: https://doi.org/10.1590/S1678-4634202349249290
Vancouver
Marques FT, Louzada F. Formação estatística nos programas de pós-graduação brasileiros: análise das disciplinas oferecidas [Internet]. Educação e Pesquisa. 2023 ; 49 1-25.[citado 2023 out. 03 ] Available from: https://doi.org/10.1590/S1678-4634202349249290
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SOUZA, Hayala Cristina Cavenague de et al. A Bayesian approach for the zero-inflated cure model: an application in a Brazilian invasive cervical cancer database. Journal of Applied Statistics, v. 49, n. 12, p. 3178–3194, 2022Tradução . . Disponível em: https://doi.org/10.1080/02664763.2021.1933923. Acesso em: 03 out. 2023.
APA
Souza, H. C. C. de, Louzada, F., Ramos, P. L., Oliveira Júnior, M. R. de, & Perdoná, G. da S. C. (2022). A Bayesian approach for the zero-inflated cure model: an application in a Brazilian invasive cervical cancer database. Journal of Applied Statistics, 49( 12), 3178–3194. doi:10.1080/02664763.2021.1933923
NLM
Souza HCC de, Louzada F, Ramos PL, Oliveira Júnior MR de, Perdoná G da SC. A Bayesian approach for the zero-inflated cure model: an application in a Brazilian invasive cervical cancer database [Internet]. Journal of Applied Statistics. 2022 ; 49( 12): 3178–3194.[citado 2023 out. 03 ] Available from: https://doi.org/10.1080/02664763.2021.1933923
Vancouver
Souza HCC de, Louzada F, Ramos PL, Oliveira Júnior MR de, Perdoná G da SC. A Bayesian approach for the zero-inflated cure model: an application in a Brazilian invasive cervical cancer database [Internet]. Journal of Applied Statistics. 2022 ; 49( 12): 3178–3194.[citado 2023 out. 03 ] Available from: https://doi.org/10.1080/02664763.2021.1933923
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RAMOS, Pedro Luiz et al. Power laws in the Roman Empire: a survival analysis. Royal Society Open Science, v. 8, n. 7, p. 210850-1-210850-15 + supplementary material, 2021Tradução . . Disponível em: http://dx.doi.org/10.1098/rsos.210850. Acesso em: 03 out. 2023.
APA
Ramos, P. L., Costa, L. da F., Louzada, F., & Rodrigues, F. A. (2021). Power laws in the Roman Empire: a survival analysis. Royal Society Open Science, 8( 7), 210850-1-210850-15 + supplementary material. doi:10.1098/rsos.210850
NLM
Ramos PL, Costa L da F, Louzada F, Rodrigues FA. Power laws in the Roman Empire: a survival analysis [Internet]. Royal Society Open Science. 2021 ; 8( 7): 210850-1-210850-15 + supplementary material.[citado 2023 out. 03 ] Available from: http://dx.doi.org/10.1098/rsos.210850
Vancouver
Ramos PL, Costa L da F, Louzada F, Rodrigues FA. Power laws in the Roman Empire: a survival analysis [Internet]. Royal Society Open Science. 2021 ; 8( 7): 210850-1-210850-15 + supplementary material.[citado 2023 out. 03 ] Available from: http://dx.doi.org/10.1098/rsos.210850
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MALAKIN, Lucas Alexandre et al. Classificação de defeito em lotes numa indústria farmacêutica: uma abordagem prática com aprendizado de máquina em processos de qualidade. 2021, Anais.. São Carlos: ICMC-USP, 2021. Disponível em: http://cemeai.icmc.usp.br/1WMECAI/trabalhos/. Acesso em: 03 out. 2023.
APA
Malakin, L. A., Mielke, L. V., Abreu, L. R. de, Barrofaldi, R. de C. Z., Miranda Neto, M., Louzada, F., & Rezende, S. O. (2021). Classificação de defeito em lotes numa indústria farmacêutica: uma abordagem prática com aprendizado de máquina em processos de qualidade. In Anais. São Carlos: ICMC-USP. Recuperado de http://cemeai.icmc.usp.br/1WMECAI/trabalhos/
NLM
Malakin LA, Mielke LV, Abreu LR de, Barrofaldi R de CZ, Miranda Neto M, Louzada F, Rezende SO. Classificação de defeito em lotes numa indústria farmacêutica: uma abordagem prática com aprendizado de máquina em processos de qualidade [Internet]. Anais. 2021 ;[citado 2023 out. 03 ] Available from: http://cemeai.icmc.usp.br/1WMECAI/trabalhos/
Vancouver
Malakin LA, Mielke LV, Abreu LR de, Barrofaldi R de CZ, Miranda Neto M, Louzada F, Rezende SO. Classificação de defeito em lotes numa indústria farmacêutica: uma abordagem prática com aprendizado de máquina em processos de qualidade [Internet]. Anais. 2021 ;[citado 2023 out. 03 ] Available from: http://cemeai.icmc.usp.br/1WMECAI/trabalhos/
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MORITA, Lia Hanna Martins et al. Optimal burn-in policy based on a set of cutoff points using mixture inverse Gaussian degradation process and copulas. Applied Stochastic Models in Business and Industry, v. 37, n. 3, p. 612-627, 2021Tradução . . Disponível em: https://doi.org/10.1002/asmb.2601. Acesso em: 03 out. 2023.
APA
Morita, L. H. M., Tomazella, V. L. D., Ferreira, P. H., Ramos, P. L., Balakrishnan, N., & Louzada, F. (2021). Optimal burn-in policy based on a set of cutoff points using mixture inverse Gaussian degradation process and copulas. Applied Stochastic Models in Business and Industry, 37( 3), 612-627. doi:10.1002/asmb.2601
NLM
Morita LHM, Tomazella VLD, Ferreira PH, Ramos PL, Balakrishnan N, Louzada F. Optimal burn-in policy based on a set of cutoff points using mixture inverse Gaussian degradation process and copulas [Internet]. Applied Stochastic Models in Business and Industry. 2021 ; 37( 3): 612-627.[citado 2023 out. 03 ] Available from: https://doi.org/10.1002/asmb.2601
Vancouver
Morita LHM, Tomazella VLD, Ferreira PH, Ramos PL, Balakrishnan N, Louzada F. Optimal burn-in policy based on a set of cutoff points using mixture inverse Gaussian degradation process and copulas [Internet]. Applied Stochastic Models in Business and Industry. 2021 ; 37( 3): 612-627.[citado 2023 out. 03 ] Available from: https://doi.org/10.1002/asmb.2601
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FIORUCCI, José Augusto e LOUZADA, Francisco. GROEC: combination method via generalized rolling origin evaluation. International Journal of Forecasting, v. 36, n. 1, p. 105-109, 2020Tradução . . Disponível em: http://dx.doi.org/10.1016/j.ijforecast.2019.04.013. Acesso em: 03 out. 2023.
APA
Fiorucci, J. A., & Louzada, F. (2020). GROEC: combination method via generalized rolling origin evaluation. International Journal of Forecasting, 36( 1), 105-109. doi:10.1016/j.ijforecast.2019.04.013
NLM
Fiorucci JA, Louzada F. GROEC: combination method via generalized rolling origin evaluation [Internet]. International Journal of Forecasting. 2020 ; 36( 1): 105-109.[citado 2023 out. 03 ] Available from: http://dx.doi.org/10.1016/j.ijforecast.2019.04.013
Vancouver
Fiorucci JA, Louzada F. GROEC: combination method via generalized rolling origin evaluation [Internet]. International Journal of Forecasting. 2020 ; 36( 1): 105-109.[citado 2023 out. 03 ] Available from: http://dx.doi.org/10.1016/j.ijforecast.2019.04.013
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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: 03 out. 2023.
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 2023 out. 03 ] 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 2023 out. 03 ] Available from: https://doi.org/10.1080/03610918.2018.1491988
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LOUZADA, Francisco et al. Incorporation of frailties into a non-proportional hazard regression model and its diagnostics for reliability modeling of downhole safety valves. IEEE Access, v. 8, p. 219757-219774, 2020Tradução . . Disponível em: https://doi.org/10.1109/ACCESS.2020.3040525. Acesso em: 03 out. 2023.
APA
Louzada, F., Cuminato, J. A., Rodriguez, O. M. H., Tomazella, V. L. D., Milani, E. A., Ferreira, P. H., et al. (2020). Incorporation of frailties into a non-proportional hazard regression model and its diagnostics for reliability modeling of downhole safety valves. IEEE Access, 8, 219757-219774. doi:10.1109/ACCESS.2020.3040525
NLM
Louzada F, Cuminato JA, Rodriguez OMH, Tomazella VLD, Milani EA, Ferreira PH, Ramos PL, Bochio G, Perissini IC, Gonzatto Junior OA, Mota AL, Alegria LFA, Colombo D, Oliveira PGO de, Santos HFL, Magalhães MV de C. Incorporation of frailties into a non-proportional hazard regression model and its diagnostics for reliability modeling of downhole safety valves [Internet]. IEEE Access. 2020 ; 8 219757-219774.[citado 2023 out. 03 ] Available from: https://doi.org/10.1109/ACCESS.2020.3040525
Vancouver
Louzada F, Cuminato JA, Rodriguez OMH, Tomazella VLD, Milani EA, Ferreira PH, Ramos PL, Bochio G, Perissini IC, Gonzatto Junior OA, Mota AL, Alegria LFA, Colombo D, Oliveira PGO de, Santos HFL, Magalhães MV de C. Incorporation of frailties into a non-proportional hazard regression model and its diagnostics for reliability modeling of downhole safety valves [Internet]. IEEE Access. 2020 ; 8 219757-219774.[citado 2023 out. 03 ] Available from: https://doi.org/10.1109/ACCESS.2020.3040525
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RAMOS, Pedro Luiz et al. The inverse weighted Lindley distribution: properties, estimation and an application on a failure time data. Communications in Statistics - Theory and Methods, v. 48, n. 10, p. 2372-2389, 2019Tradução . . Disponível em: https://doi.org/10.1080/03610926.2018.1465084. Acesso em: 03 out. 2023.
APA
Ramos, P. L., Louzada, F., Shimizu, T. K. O., & Luiz, A. O. (2019). The inverse weighted Lindley distribution: properties, estimation and an application on a failure time data. Communications in Statistics - Theory and Methods, 48( 10), 2372-2389. doi:10.1080/03610926.2018.1465084
NLM
Ramos PL, Louzada F, Shimizu TKO, Luiz AO. The inverse weighted Lindley distribution: properties, estimation and an application on a failure time data [Internet]. Communications in Statistics - Theory and Methods. 2019 ; 48( 10): 2372-2389.[citado 2023 out. 03 ] Available from: https://doi.org/10.1080/03610926.2018.1465084
Vancouver
Ramos PL, Louzada F, Shimizu TKO, Luiz AO. The inverse weighted Lindley distribution: properties, estimation and an application on a failure time data [Internet]. Communications in Statistics - Theory and Methods. 2019 ; 48( 10): 2372-2389.[citado 2023 out. 03 ] Available from: https://doi.org/10.1080/03610926.2018.1465084
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GRANZOTTO, Daniele C. T e FERREIRA, Paulo H. e LOUZADA, Francisco. Likelihood-based inference for the transmuted log-logistic model in the presence of right-censored data. Communications in Statistics - Theory and Methods, v. 48, n. 7, p. 1798-1813, 2019Tradução . . Disponível em: https://doi.org/10.1080/03610926.2018.1440313. Acesso em: 03 out. 2023.
APA
Granzotto, D. C. T., Ferreira, P. H., & Louzada, F. (2019). Likelihood-based inference for the transmuted log-logistic model in the presence of right-censored data. Communications in Statistics - Theory and Methods, 48( 7), 1798-1813. doi:10.1080/03610926.2018.1440313
NLM
Granzotto DCT, Ferreira PH, Louzada F. Likelihood-based inference for the transmuted log-logistic model in the presence of right-censored data [Internet]. Communications in Statistics - Theory and Methods. 2019 ; 48( 7): 1798-1813.[citado 2023 out. 03 ] Available from: https://doi.org/10.1080/03610926.2018.1440313
Vancouver
Granzotto DCT, Ferreira PH, Louzada F. Likelihood-based inference for the transmuted log-logistic model in the presence of right-censored data [Internet]. Communications in Statistics - Theory and Methods. 2019 ; 48( 7): 1798-1813.[citado 2023 out. 03 ] Available from: https://doi.org/10.1080/03610926.2018.1440313
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CALSAVARA, Vinicius Fernando et al. Zero-adjusted defective regression models for modeling lifetime data. Journal of Applied Statistics, v. 46, n. 13, p. 2434-2459, 2019Tradução . . Disponível em: http://dx.doi.org/10.1080/02664763.2019.1597029. Acesso em: 03 out. 2023.
APA
Calsavara, V. F., Rodrigues, A. S., Rocha, R., Louzada, F., Tomazella, V., Souza, A. C. R. L. A. de, et al. (2019). Zero-adjusted defective regression models for modeling lifetime data. Journal of Applied Statistics, 46( 13), 2434-2459. doi:10.1080/02664763.2019.1597029
NLM
Calsavara VF, Rodrigues AS, Rocha R, Louzada F, Tomazella V, Souza ACRLA de, Costa RA da, Francisco RPV. Zero-adjusted defective regression models for modeling lifetime data [Internet]. Journal of Applied Statistics. 2019 ; 46( 13): 2434-2459.[citado 2023 out. 03 ] Available from: http://dx.doi.org/10.1080/02664763.2019.1597029
Vancouver
Calsavara VF, Rodrigues AS, Rocha R, Louzada F, Tomazella V, Souza ACRLA de, Costa RA da, Francisco RPV. Zero-adjusted defective regression models for modeling lifetime data [Internet]. Journal of Applied Statistics. 2019 ; 46( 13): 2434-2459.[citado 2023 out. 03 ] Available from: http://dx.doi.org/10.1080/02664763.2019.1597029
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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: 03 out. 2023.
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 2023 out. 03 ] 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 2023 out. 03 ] Available from: https://doi.org/10.1080/03610918.2017.1395039
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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FERREIRA, Paulo H. e LOUZADA, Francisco. Maximum likelihood estimation for bivariate SUR Tobit modeling in presence of two right-censored dependent variables. Communications in Statistics - Simulation and Computation, v. 48, n. Ja 2019, p. 150-168, 2019Tradução . . Disponível em: http://dx.doi.org/10.1080/03610918.2017.1375521. Acesso em: 03 out. 2023.
APA
Ferreira, P. H., & Louzada, F. (2019). Maximum likelihood estimation for bivariate SUR Tobit modeling in presence of two right-censored dependent variables. Communications in Statistics - Simulation and Computation, 48( Ja 2019), 150-168. doi:10.1080/03610918.2017.1375521
NLM
Ferreira PH, Louzada F. Maximum likelihood estimation for bivariate SUR Tobit modeling in presence of two right-censored dependent variables [Internet]. Communications in Statistics - Simulation and Computation. 2019 ; 48( Ja 2019): 150-168.[citado 2023 out. 03 ] Available from: http://dx.doi.org/10.1080/03610918.2017.1375521
Vancouver
Ferreira PH, Louzada F. Maximum likelihood estimation for bivariate SUR Tobit modeling in presence of two right-censored dependent variables [Internet]. Communications in Statistics - Simulation and Computation. 2019 ; 48( Ja 2019): 150-168.[citado 2023 out. 03 ] Available from: http://dx.doi.org/10.1080/03610918.2017.1375521
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LOUZADA, Francisco e RAMOS, Pedro Luiz e RAMOS, Eduardo. A note on bias of closed-form estimators for the gamma distribution derived from likelihood equations. American Statistician, v. 73, n. 2, p. 195-199, 2019Tradução . . Disponível em: https://doi.org/10.1080/00031305.2018.1513376. Acesso em: 03 out. 2023.
APA
Louzada, F., Ramos, P. L., & Ramos, E. (2019). A note on bias of closed-form estimators for the gamma distribution derived from likelihood equations. American Statistician, 73( 2), 195-199. doi:10.1080/00031305.2018.1513376
NLM
Louzada F, Ramos PL, Ramos E. A note on bias of closed-form estimators for the gamma distribution derived from likelihood equations [Internet]. American Statistician. 2019 ; 73( 2): 195-199.[citado 2023 out. 03 ] Available from: https://doi.org/10.1080/00031305.2018.1513376
Vancouver
Louzada F, Ramos PL, Ramos E. A note on bias of closed-form estimators for the gamma distribution derived from likelihood equations [Internet]. American Statistician. 2019 ; 73( 2): 195-199.[citado 2023 out. 03 ] Available from: https://doi.org/10.1080/00031305.2018.1513376
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ABNT
SCUDILIO, Juliana et al. Defective models induced by gamma frailty term for survival data with cured fraction. Journal of Applied Statistics, v. 46, n. 3, p. 484-507, 2019Tradução . . Disponível em: http://dx.doi.org/10.1080/02664763.2018.1498464. Acesso em: 03 out. 2023.
APA
Scudilio, J., Calsavara, V. F., Rocha, R., Louzada, F., Tomazella, V. L. D., & Rodrigues, A. S. (2019). Defective models induced by gamma frailty term for survival data with cured fraction. Journal of Applied Statistics, 46( 3), 484-507. doi:10.1080/02664763.2018.1498464
NLM
Scudilio J, Calsavara VF, Rocha R, Louzada F, Tomazella VLD, Rodrigues AS. Defective models induced by gamma frailty term for survival data with cured fraction [Internet]. Journal of Applied Statistics. 2019 ; 46( 3): 484-507.[citado 2023 out. 03 ] Available from: http://dx.doi.org/10.1080/02664763.2018.1498464
Vancouver
Scudilio J, Calsavara VF, Rocha R, Louzada F, Tomazella VLD, Rodrigues AS. Defective models induced by gamma frailty term for survival data with cured fraction [Internet]. Journal of Applied Statistics. 2019 ; 46( 3): 484-507.[citado 2023 out. 03 ] Available from: http://dx.doi.org/10.1080/02664763.2018.1498464
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CALSAVARA, Vinicius Fernando et al. Defective regression models for cure rate modeling with interval-censored data. Biometrical Journal, v. 61, n. 4, p. 841-859, 2019Tradução . . Disponível em: http://dx.doi.org/10.1002/bimj.201800056. Acesso em: 03 out. 2023.
APA
Calsavara, V. F., Rodrigues, A. S., Rocha, R., Tomazella, V., & Louzada, F. (2019). Defective regression models for cure rate modeling with interval-censored data. Biometrical Journal, 61( 4), 841-859. doi:10.1002/bimj.201800056
NLM
Calsavara VF, Rodrigues AS, Rocha R, Tomazella V, Louzada F. Defective regression models for cure rate modeling with interval-censored data [Internet]. Biometrical Journal. 2019 ; 61( 4): 841-859.[citado 2023 out. 03 ] Available from: http://dx.doi.org/10.1002/bimj.201800056
Vancouver
Calsavara VF, Rodrigues AS, Rocha R, Tomazella V, Louzada F. Defective regression models for cure rate modeling with interval-censored data [Internet]. Biometrical Journal. 2019 ; 61( 4): 841-859.[citado 2023 out. 03 ] Available from: http://dx.doi.org/10.1002/bimj.201800056
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
Bayesian inference and maximum entropy methods in science and engineering. . Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-319-91143-4. Acesso em: 03 out. 2023. , 2018
APA
Bayesian inference and maximum entropy methods in science and engineering. (2018). Bayesian inference and maximum entropy methods in science and engineering. Cham: Springer. doi:10.1007/978-3-319-91143-4
NLM
Bayesian inference and maximum entropy methods in science and engineering [Internet]. 2018 ;[citado 2023 out. 03 ] Available from: https://doi.org/10.1007/978-3-319-91143-4
Vancouver
Bayesian inference and maximum entropy methods in science and engineering [Internet]. 2018 ;[citado 2023 out. 03 ] Available from: https://doi.org/10.1007/978-3-319-91143-4
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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FRAGOSO, Tiago M e BERTOLI, Wesley e LOUZADA, Francisco. Bayesian model averaging: a systematic review and conceptual classification. International Statistical Review, v. 86, n. 1, p. 1-28, 2018Tradução . . Disponível em: http://dx.doi.org/10.1111/insr.12243. Acesso em: 03 out. 2023.
APA
Fragoso, T. M., Bertoli, W., & Louzada, F. (2018). Bayesian model averaging: a systematic review and conceptual classification. International Statistical Review, 86( 1), 1-28. doi:10.1111/insr.12243
NLM
Fragoso TM, Bertoli W, Louzada F. Bayesian model averaging: a systematic review and conceptual classification [Internet]. International Statistical Review. 2018 ; 86( 1): 1-28.[citado 2023 out. 03 ] Available from: http://dx.doi.org/10.1111/insr.12243
Vancouver
Fragoso TM, Bertoli W, Louzada F. Bayesian model averaging: a systematic review and conceptual classification [Internet]. International Statistical Review. 2018 ; 86( 1): 1-28.[citado 2023 out. 03 ] Available from: http://dx.doi.org/10.1111/insr.12243
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RAMOS, Pedro Luiz e LOUZADA, Francisco e RAMOS, Eduardo. Posterior properties of the Nakagami-m distribution using noninformative priors and applications in reliability. IEEE Transactions on Reliability, v. 67, n. 1, p. 105-117, 2018Tradução . . Disponível em: http://dx.doi.org/10.1109/TR.2017.2778139. Acesso em: 03 out. 2023.
APA
Ramos, P. L., Louzada, F., & Ramos, E. (2018). Posterior properties of the Nakagami-m distribution using noninformative priors and applications in reliability. IEEE Transactions on Reliability, 67( 1), 105-117. doi:10.1109/TR.2017.2778139
NLM
Ramos PL, Louzada F, Ramos E. Posterior properties of the Nakagami-m distribution using noninformative priors and applications in reliability [Internet]. IEEE Transactions on Reliability. 2018 ; 67( 1): 105-117.[citado 2023 out. 03 ] Available from: http://dx.doi.org/10.1109/TR.2017.2778139
Vancouver
Ramos PL, Louzada F, Ramos E. Posterior properties of the Nakagami-m distribution using noninformative priors and applications in reliability [Internet]. IEEE Transactions on Reliability. 2018 ; 67( 1): 105-117.[citado 2023 out. 03 ] Available from: http://dx.doi.org/10.1109/TR.2017.2778139
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SANTOS, T. E. G. et al. Manipulation of postural control using high-definition transcranial direct currentstimulation over temporo-parietal junction. Neuromodulation: Technology at the Neural Interface. San Francisco, CA: International Neuromodulation Society. Disponível em: https://doi.org/10.1038/s41598-018-26812-8. Acesso em: 03 out. 2023. , 2018
APA
Santos, T. E. G., Favoretto, D. B., Rimoli, B. P., Nascimento, D. C., Bergonzoni, E., Lemos, T. W., et al. (2018). Manipulation of postural control using high-definition transcranial direct currentstimulation over temporo-parietal junction. Neuromodulation: Technology at the Neural Interface. San Francisco, CA: International Neuromodulation Society. doi:10.1038/s41598-018-26812-8
NLM
Santos TEG, Favoretto DB, Rimoli BP, Nascimento DC, Bergonzoni E, Lemos TW, Truong D, Moraes R de, Louzada F, Bikson M, Leite JP, Edwards DJ. Manipulation of postural control using high-definition transcranial direct currentstimulation over temporo-parietal junction [Internet]. Neuromodulation: Technology at the Neural Interface. 2018 ; 21( 6): vi.[citado 2023 out. 03 ] Available from: https://doi.org/10.1038/s41598-018-26812-8
Vancouver
Santos TEG, Favoretto DB, Rimoli BP, Nascimento DC, Bergonzoni E, Lemos TW, Truong D, Moraes R de, Louzada F, Bikson M, Leite JP, Edwards DJ. Manipulation of postural control using high-definition transcranial direct currentstimulation over temporo-parietal junction [Internet]. Neuromodulation: Technology at the Neural Interface. 2018 ; 21( 6): vi.[citado 2023 out. 03 ] Available from: https://doi.org/10.1038/s41598-018-26812-8