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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: 15 nov. 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 nov. 15 ] 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 nov. 15 ] Available from: https://doi.org/10.1080/03610918.2022.2053719
Artigo de periodico
A new cure rate frailty regression model based on a weighted Lindley distribution applied to stomach cancer data (2023)
Mota, Alex Leal ; Milani, Eder Angelo ; Leão, Jeremias ; Ramos, Pedro Luiz ; Ferreira, Paulo Henrique ; Gonzatto Junior, Oilson Alberto ; Tomazella, Vera Lucia Damasceno ; Louzada, Francisco
Source: Statistical Methods and Applications. Unidades: ICMC, INTER: ICMC -UFSCAR
Subjects: ANÁLISE DE SOBREVIVÊNCIA, VEROSSIMILHANÇA, DISTRIBUIÇÕES (PROBABILIDADE), NEOPLASIAS GÁSTRICAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MOTA, Alex Leal et al. A new cure rate frailty regression model based on a weighted Lindley distribution applied to stomach cancer data. Statistical Methods and Applications, v. 32, p. 883-909, 2023Tradução . . Disponível em: https://doi.org/10.1007/s10260-022-00673-y. Acesso em: 15 nov. 2024.
APA
Mota, A. L., Milani, E. A., Leão, J., Ramos, P. L., Ferreira, P. H., Gonzatto Junior, O. A., et al. (2023). A new cure rate frailty regression model based on a weighted Lindley distribution applied to stomach cancer data. Statistical Methods and Applications, 32, 883-909. doi:10.1007/s10260-022-00673-y
NLM
Mota AL, Milani EA, Leão J, Ramos PL, Ferreira PH, Gonzatto Junior OA, Tomazella VLD, Louzada F. A new cure rate frailty regression model based on a weighted Lindley distribution applied to stomach cancer data [Internet]. Statistical Methods and Applications. 2023 ; 32 883-909.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1007/s10260-022-00673-y
Vancouver
Mota AL, Milani EA, Leão J, Ramos PL, Ferreira PH, Gonzatto Junior OA, Tomazella VLD, Louzada F. A new cure rate frailty regression model based on a weighted Lindley distribution applied to stomach cancer data [Internet]. Statistical Methods and Applications. 2023 ; 32 883-909.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1007/s10260-022-00673-y
Artigo de periodico
The Lehmann type II inverse Weibull distribution in the presence of censored data (2022)
Tomazella, Vera Lucia Damasceno ; Ramos, Pedro Luiz ; Ferreira, Paulo Henrique ; Mota, Alex Leal ; Louzada, Francisco
Source: Communications in Statistics: Simulation and Computation. Unidades: ICMC, INTER: ICMC -UFSCAR
Subjects: DADOS CENSURADOS, VEROSSIMILHANÇA, REAMOSTRAGEM BOOTSTRAP
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
TOMAZELLA, Vera Lucia Damasceno et al. The Lehmann type II inverse Weibull distribution in the presence of censored data. Communications in Statistics: Simulation and Computation, v. 51, n. 12, p. 7057-7073, 2022Tradução . . Disponível em: https://doi.org/10.1080/03610918.2020.1823000. Acesso em: 15 nov. 2024.
APA
Tomazella, V. L. D., Ramos, P. L., Ferreira, P. H., Mota, A. L., & Louzada, F. (2022). The Lehmann type II inverse Weibull distribution in the presence of censored data. Communications in Statistics: Simulation and Computation, 51( 12), 7057-7073. doi:10.1080/03610918.2020.1823000
NLM
Tomazella VLD, Ramos PL, Ferreira PH, Mota AL, Louzada F. The Lehmann type II inverse Weibull distribution in the presence of censored data [Internet]. Communications in Statistics: Simulation and Computation. 2022 ;51( 12): 7057-7073.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1080/03610918.2020.1823000
Vancouver
Tomazella VLD, Ramos PL, Ferreira PH, Mota AL, Louzada F. The Lehmann type II inverse Weibull distribution in the presence of censored data [Internet]. Communications in Statistics: Simulation and Computation. 2022 ;51( 12): 7057-7073.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1080/03610918.2020.1823000
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: 15 nov. 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 nov. 15 ] 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 nov. 15 ] Available from: https://doi.org/10.1007/s10985-021-09529-1
Artigo de periodico
A reparameterized weighted Lindley distribution: properties, estimation and applications (2021)
Mota, Alex Leal ; Ramos, Pedro Luiz ; Ferreira, Paulo Henrique; Tomazella, Vera Lucia Damasceno ; Louzada, Francisco
Source: Revista Colombiana de Estadística - Applied Statistics. Unidades: ICMC, INTER: ICMC -UFSCAR
Subjects: DISTRIBUIÇÕES (PROBABILIDADE), VEROSSIMILHANÇA, ANÁLISE DE SOBREVIVÊNCIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MOTA, Alex Leal et al. A reparameterized weighted Lindley distribution: properties, estimation and applications. Revista Colombiana de Estadística - Applied Statistics, v. 44, n. 1, p. 65-90, 2021Tradução . . Disponível em: https://doi.org/10.15446/rce.v44n1.86566. Acesso em: 15 nov. 2024.
APA
Mota, A. L., Ramos, P. L., Ferreira, P. H., Tomazella, V. L. D., & Louzada, F. (2021). A reparameterized weighted Lindley distribution: properties, estimation and applications. Revista Colombiana de Estadística - Applied Statistics, 44( 1), 65-90. doi:10.15446/rce.v44n1.86566
NLM
Mota AL, Ramos PL, Ferreira PH, Tomazella VLD, Louzada F. A reparameterized weighted Lindley distribution: properties, estimation and applications [Internet]. Revista Colombiana de Estadística - Applied Statistics. 2021 ; 44( 1): 65-90.[citado 2024 nov. 15 ] Available from: https://doi.org/10.15446/rce.v44n1.86566
Vancouver
Mota AL, Ramos PL, Ferreira PH, Tomazella VLD, Louzada F. A reparameterized weighted Lindley distribution: properties, estimation and applications [Internet]. Revista Colombiana de Estadística - Applied Statistics. 2021 ; 44( 1): 65-90.[citado 2024 nov. 15 ] Available from: https://doi.org/10.15446/rce.v44n1.86566
Artigo de periodico
Incorporation of frailties into a non-proportional hazard regression model and its diagnostics for reliability modeling of downhole safety valves (2020)
Louzada, Francisco ; Cuminato, José Alberto ; Rodriguez, Oscar Maurício Hernandez ; Tomazella, Vera Lucia Damasceno ; Milani, Eder Angelo ; Ferreira, Paulo Henrique ; Ramos, Pedro Luiz ; Bochio, Gustavo; Perissini, Ivan Carlos ; Gonzatto Junior, Oilson Alberto ; Mota, Alex Leal ; Alegria, Luis Felipe Acuña; Colombo, Danilo ; Oliveira, Paulo Guilherme Oliveira de; Santos, Hugo Francisco Lisboa; Magalhães, Marcus Vinicius de Campos
Source: IEEE Access. Unidades: ICMC, EESC, INTER: ICMC -UFSCAR
Subjects: RISCO, POÇOS, PETRÓLEO, INFERÊNCIA BAYESIANA, ANÁLISE DE SOBREVIVÊNCIA, MECÂNICA DOS FLUÍDOS, PROSPECÇÃO DO PETRÓLEO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
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: 15 nov. 2024.
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 2024 nov. 15 ] 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 2024 nov. 15 ] Available from: https://doi.org/10.1109/ACCESS.2020.3040525

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