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Artigo de periodico
Statistical inference for generalized power-law process in repairable systems (2024)
Lopes, Tito; Tomazella, Vera Lucia Damasceno ; Leão, Jeremias ; Ramos, Pedro Luiz ; Louzada, Francisco
Source: Journal of Computational and Applied Mathematics. Unidade: ICMC
Subjects: PROCESSOS DE POISSON, FALHA, VEROSSIMILHANÇA, MÉTODO DE MONTE CARLO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LOPES, Tito et al. Statistical inference for generalized power-law process in repairable systems. Journal of Computational and Applied Mathematics, v. 445, p. 1-20, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.cam.2024.115799. Acesso em: 17 out. 2024.
APA
Lopes, T., Tomazella, V. L. D., Leão, J., Ramos, P. L., & Louzada, F. (2024). Statistical inference for generalized power-law process in repairable systems. Journal of Computational and Applied Mathematics, 445, 1-20. doi:10.1016/j.cam.2024.115799
NLM
Lopes T, Tomazella VLD, Leão J, Ramos PL, Louzada F. Statistical inference for generalized power-law process in repairable systems [Internet]. Journal of Computational and Applied Mathematics. 2024 ; 445 1-20.[citado 2024 out. 17 ] Available from: https://doi.org/10.1016/j.cam.2024.115799
Vancouver
Lopes T, Tomazella VLD, Leão J, Ramos PL, Louzada F. Statistical inference for generalized power-law process in repairable systems [Internet]. Journal of Computational and Applied Mathematics. 2024 ; 445 1-20.[citado 2024 out. 17 ] Available from: https://doi.org/10.1016/j.cam.2024.115799
Artigo de periodico
Modified imperfect repair model (ARAM1) and new PLP parameterization (2024)
Lopes, Tito; Tomazella, Vera Lucia Damasceno ; Leão, Jeremias ; Louzada, Francisco
Source: Quality Engineering. Unidade: ICMC
Subjects: PROCESSOS DE POISSON, MODELAGEM DE DADOS, FALHA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LOPES, Tito et al. Modified imperfect repair model (ARAM1) and new PLP parameterization. Quality Engineering, v. 36, n. 4, p. 774-789, 2024Tradução . . Disponível em: https://doi.org/10.1080/08982112.2023.2300814. Acesso em: 17 out. 2024.
APA
Lopes, T., Tomazella, V. L. D., Leão, J., & Louzada, F. (2024). Modified imperfect repair model (ARAM1) and new PLP parameterization. Quality Engineering, 36( 4), 774-789. doi:10.1080/08982112.2023.2300814
NLM
Lopes T, Tomazella VLD, Leão J, Louzada F. Modified imperfect repair model (ARAM1) and new PLP parameterization [Internet]. Quality Engineering. 2024 ; 36( 4): 774-789.[citado 2024 out. 17 ] Available from: https://doi.org/10.1080/08982112.2023.2300814
Vancouver
Lopes T, Tomazella VLD, Leão J, Louzada F. Modified imperfect repair model (ARAM1) and new PLP parameterization [Internet]. Quality Engineering. 2024 ; 36( 4): 774-789.[citado 2024 out. 17 ] Available from: https://doi.org/10.1080/08982112.2023.2300814
Artigo de periodico
Weighted Lindley regression model with varying precision: estimation, modeling and its diagnostics (2024)
Mota, Alex Leal ; Santos-Neto, Manoel ; Miranda Neto, Milton ; Leão, Jeremias ; Tomazella, Vera Lucia Damasceno ; Louzada, Francisco
Source: Communications in Statistics - Simulation and Computation. Unidades: ICMC, INTER: ICMC -UFSCAR
Subjects: ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, VEROSSIMILHANÇA, MÉTODO DE MONTE CARLO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MOTA, Alex Leal et al. Weighted Lindley regression model with varying precision: estimation, modeling and its diagnostics. Communications in Statistics - Simulation and Computation, v. 53, n. 4, p. 1690-1710, 2024Tradução . . Disponível em: https://doi.org/10.1080/03610918.2022.2053719. Acesso em: 17 out. 2024.
APA
Mota, A. L., Santos-Neto, M., Miranda Neto, M., Leão, J., Tomazella, V. L. D., & Louzada, F. (2024). Weighted Lindley regression model with varying precision: estimation, modeling and its diagnostics. Communications in Statistics - Simulation and Computation, 53( 4), 1690-1710. doi:10.1080/03610918.2022.2053719
NLM
Mota AL, Santos-Neto M, Miranda Neto M, Leão J, Tomazella VLD, Louzada F. Weighted Lindley regression model with varying precision: estimation, modeling and its diagnostics [Internet]. Communications in Statistics - Simulation and Computation. 2024 ; 53( 4): 1690-1710.[citado 2024 out. 17 ] Available from: https://doi.org/10.1080/03610918.2022.2053719
Vancouver
Mota AL, Santos-Neto M, Miranda Neto M, Leão J, Tomazella VLD, Louzada F. Weighted Lindley regression model with varying precision: estimation, modeling and its diagnostics [Internet]. Communications in Statistics - Simulation and Computation. 2024 ; 53( 4): 1690-1710.[citado 2024 out. 17 ] Available from: https://doi.org/10.1080/03610918.2022.2053719
Artigo de periodico
Fast inference for robust nonlinear mixed-effects models (2023)
Gomes, Jose Clelto Barros ; Aoki, Reiko ; Lachos, Victor Hugo ; Paula, Gilberto Alvarenga ; Russo, Cibele Maria
Source: Journal of Applied Statistics. Unidades: ICMC, IME
Assunto: MODELOS NÃO LINEARES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GOMES, Jose Clelto Barros et al. Fast inference for robust nonlinear mixed-effects models. Journal of Applied Statistics, v. 50, p. 1568-1591, 2023Tradução . . Disponível em: https://doi.org/10.1080/02664763.2022.2034141. Acesso em: 17 out. 2024.
APA
Gomes, J. C. B., Aoki, R., Lachos, V. H., Paula, G. A., & Russo, C. M. (2023). Fast inference for robust nonlinear mixed-effects models. Journal of Applied Statistics, 50, 1568-1591. doi:10.1080/02664763.2022.2034141
NLM
Gomes JCB, Aoki R, Lachos VH, Paula GA, Russo CM. Fast inference for robust nonlinear mixed-effects models [Internet]. Journal of Applied Statistics. 2023 ; 50 1568-1591.[citado 2024 out. 17 ] Available from: https://doi.org/10.1080/02664763.2022.2034141
Vancouver
Gomes JCB, Aoki R, Lachos VH, Paula GA, Russo CM. Fast inference for robust nonlinear mixed-effects models [Internet]. Journal of Applied Statistics. 2023 ; 50 1568-1591.[citado 2024 out. 17 ] Available from: https://doi.org/10.1080/02664763.2022.2034141
Artigo de periodico
Weighted Lindley frailty model: estimation and application to lung cancer data (2021)
Mota, Alex Leal ; Milani, Eder Angelo ; Calsavara, Vinicius Fernando ; Tomazella, Vera Lucia Damasceno ; Leão, Jeremias ; Ramos, Pedro Luiz ; Ferreira, Paulo Henrique ; Louzada, Francisco
Source: Lifetime Data Analysis. Unidades: ICMC, INTER: ICMC -UFSCAR
Subjects: NEOPLASIAS PULMONARES, VEROSSIMILHANÇA, SIMULAÇÃO (ESTATÍSTICA)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MOTA, Alex Leal et al. Weighted Lindley frailty model: estimation and application to lung cancer data. Lifetime Data Analysis, v. 27, p. 561-587, 2021Tradução . . Disponível em: https://doi.org/10.1007/s10985-021-09529-1. Acesso em: 17 out. 2024.
APA
Mota, A. L., Milani, E. A., Calsavara, V. F., Tomazella, V. L. D., Leão, J., Ramos, P. L., et al. (2021). Weighted Lindley frailty model: estimation and application to lung cancer data. Lifetime Data Analysis, 27, 561-587. doi:10.1007/s10985-021-09529-1
NLM
Mota AL, Milani EA, Calsavara VF, Tomazella VLD, Leão J, Ramos PL, Ferreira PH, Louzada F. Weighted Lindley frailty model: estimation and application to lung cancer data [Internet]. Lifetime Data Analysis. 2021 ; 27 561-587.[citado 2024 out. 17 ] Available from: https://doi.org/10.1007/s10985-021-09529-1
Vancouver
Mota AL, Milani EA, Calsavara VF, Tomazella VLD, Leão J, Ramos PL, Ferreira PH, Louzada F. Weighted Lindley frailty model: estimation and application to lung cancer data [Internet]. Lifetime Data Analysis. 2021 ; 27 561-587.[citado 2024 out. 17 ] Available from: https://doi.org/10.1007/s10985-021-09529-1

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