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Artigo de periodico
Statistical process control (SPC) for double-bounded information: Choosing wisely the parametric family for unit data (2024)
Nascimento, Diego Carvalho ; Gonzatto Junior, Oilson Alberto ; Elal-Olivero, David ; Bonnail, Estefania ; Ferreira, Paulo Henrique
Source: Quality Engineering. Unidade: ICMC
Subjects: CONTROLE ESTATÍSTICO DO PROCESSO, ANÁLISE DE DADOS, DESERTO DE ATACAMA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
NASCIMENTO, Diego Carvalho et al. Statistical process control (SPC) for double-bounded information: Choosing wisely the parametric family for unit data. Quality Engineering, v. 36, n. 3, p. 575-593, 2024Tradução . . Disponível em: https://doi.org/10.1080/08982112.2023.2254843. Acesso em: 02 nov. 2024.
APA
Nascimento, D. C., Gonzatto Junior, O. A., Elal-Olivero, D., Bonnail, E., & Ferreira, P. H. (2024). Statistical process control (SPC) for double-bounded information: Choosing wisely the parametric family for unit data. Quality Engineering, 36( 3), 575-593. doi:10.1080/08982112.2023.2254843
NLM
Nascimento DC, Gonzatto Junior OA, Elal-Olivero D, Bonnail E, Ferreira PH. Statistical process control (SPC) for double-bounded information: Choosing wisely the parametric family for unit data [Internet]. Quality Engineering. 2024 ; 36( 3): 575-593.[citado 2024 nov. 02 ] Available from: https://doi.org/10.1080/08982112.2023.2254843
Vancouver
Nascimento DC, Gonzatto Junior OA, Elal-Olivero D, Bonnail E, Ferreira PH. Statistical process control (SPC) for double-bounded information: Choosing wisely the parametric family for unit data [Internet]. Quality Engineering. 2024 ; 36( 3): 575-593.[citado 2024 nov. 02 ] Available from: https://doi.org/10.1080/08982112.2023.2254843
Artigo de periodico
Frailty model for multiple repairable systems hierarchically represented subject to competing risks (2024)
Gonzatto Junior, Oilson Alberto ; Fernandes, Willian Rafael; Ramos, Pedro Luiz ; Tomazella, Vera Lucia Damasceno ; Louzada, Francisco
Source: Journal of Statistical Computation and Simulation. Unidade: ICMC
Subjects: ESTATÍSTICA APLICADA, TEORIA DA CONFIABILIDADE, RISCO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GONZATTO JUNIOR, Oilson Alberto et al. Frailty model for multiple repairable systems hierarchically represented subject to competing risks. Journal of Statistical Computation and Simulation, v. 94, n. 15, p. 3271-3291, 2024Tradução . . Disponível em: https://doi.org/10.1080/00949655.2024.2381515. Acesso em: 02 nov. 2024.
APA
Gonzatto Junior, O. A., Fernandes, W. R., Ramos, P. L., Tomazella, V. L. D., & Louzada, F. (2024). Frailty model for multiple repairable systems hierarchically represented subject to competing risks. Journal of Statistical Computation and Simulation, 94( 15), 3271-3291. doi:10.1080/00949655.2024.2381515
NLM
Gonzatto Junior OA, Fernandes WR, Ramos PL, Tomazella VLD, Louzada F. Frailty model for multiple repairable systems hierarchically represented subject to competing risks [Internet]. Journal of Statistical Computation and Simulation. 2024 ; 94( 15): 3271-3291.[citado 2024 nov. 02 ] Available from: https://doi.org/10.1080/00949655.2024.2381515
Vancouver
Gonzatto Junior OA, Fernandes WR, Ramos PL, Tomazella VLD, Louzada F. Frailty model for multiple repairable systems hierarchically represented subject to competing risks [Internet]. Journal of Statistical Computation and Simulation. 2024 ; 94( 15): 3271-3291.[citado 2024 nov. 02 ] Available from: https://doi.org/10.1080/00949655.2024.2381515
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: 02 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. 02 ] 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. 02 ] Available from: https://doi.org/10.1007/s10260-022-00673-y
Artigo de periodico
Reliability assessment of repairable systems with series–parallel structure subjected to hierarchical competing risks under minimal repair regime (2022)
Louzada, Francisco ; Tomazella, Vera Lucia Damasceno ; Gonzatto Junior, Oilson Alberto ; Bochio, Gustavo ; Milani, Eder Angelo ; Ferreira, Paulo Henrique ; Ramos, Pedro Luiz
Source: Reliability Engineering and System Safety. Unidade: ICMC
Subjects: VEROSSIMILHANÇA, TEORIA DA CONFIABILIDADE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LOUZADA, Francisco et al. Reliability assessment of repairable systems with series–parallel structure subjected to hierarchical competing risks under minimal repair regime. Reliability Engineering and System Safety, v. 222, p. 1-12, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.ress.2022.108364. Acesso em: 02 nov. 2024.
APA
Louzada, F., Tomazella, V. L. D., Gonzatto Junior, O. A., Bochio, G., Milani, E. A., Ferreira, P. H., & Ramos, P. L. (2022). Reliability assessment of repairable systems with series–parallel structure subjected to hierarchical competing risks under minimal repair regime. Reliability Engineering and System Safety, 222, 1-12. doi:10.1016/j.ress.2022.108364
NLM
Louzada F, Tomazella VLD, Gonzatto Junior OA, Bochio G, Milani EA, Ferreira PH, Ramos PL. Reliability assessment of repairable systems with series–parallel structure subjected to hierarchical competing risks under minimal repair regime [Internet]. Reliability Engineering and System Safety. 2022 ; 222 1-12.[citado 2024 nov. 02 ] Available from: https://doi.org/10.1016/j.ress.2022.108364
Vancouver
Louzada F, Tomazella VLD, Gonzatto Junior OA, Bochio G, Milani EA, Ferreira PH, Ramos PL. Reliability assessment of repairable systems with series–parallel structure subjected to hierarchical competing risks under minimal repair regime [Internet]. Reliability Engineering and System Safety. 2022 ; 222 1-12.[citado 2024 nov. 02 ] Available from: https://doi.org/10.1016/j.ress.2022.108364

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