Brito, Eder Silva de 
; Ferreira, Paulo Henrique ; Tomazella, Vera Lucia Damasceno ; Martins Neto, Daniele S. B; Ehlers, Ricardo Sandes
Source: Communications in Statistics : Simulation and Computation. Unidades: ICMC, INTER: ICMC -UFSCAR
Subjects: INFERÊNCIA BAYESIANA, VEROSSIMILHANÇA, DADOS CENSURADOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BRITO, Eder Silva de et al. Inference methods for the Very Flexible Weibull distribution based on progressive type-II censoring. Communications in Statistics : Simulation and Computation, 2023Tradução . . Disponível em: https://doi.org/10.1080/03610918.2023.2180646. Acesso em: 26 maio 2024.APA
Brito, E. S. de, Ferreira, P. H., Tomazella, V. L. D., Martins Neto, D. S. B., & Ehlers, R. S. (2023). Inference methods for the Very Flexible Weibull distribution based on progressive type-II censoring. Communications in Statistics : Simulation and Computation. doi:10.1080/03610918.2023.2180646NLM
Brito ES de, Ferreira PH, Tomazella VLD, Martins Neto DSB, Ehlers RS. Inference methods for the Very Flexible Weibull distribution based on progressive type-II censoring [Internet]. Communications in Statistics : Simulation and Computation. 2023 ;[citado 2024 maio 26 ] Available from: https://doi.org/10.1080/03610918.2023.2180646Vancouver
Brito ES de, Ferreira PH, Tomazella VLD, Martins Neto DSB, Ehlers RS. Inference methods for the Very Flexible Weibull distribution based on progressive type-II censoring [Internet]. Communications in Statistics : Simulation and Computation. 2023 ;[citado 2024 maio 26 ] Available from: https://doi.org/10.1080/03610918.2023.2180646
