Jesus, Bruno D; Ferreira, Paulo Henrique 
; Boaventura, Laion Lima ; Fiaccone, Rosemeire L ; Silva, Wesley Bertoli da ; Ramos, Pedro Luiz ; Louzada, Francisco
Source: Quality and Reliability Engineering International. Unidade: ICMC
Subjects: PROCESSOS DE POISSON, DISTRIBUIÇÕES (PROBABILIDADE), DADOS DE CONTAGEM
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JESUS, Bruno D et al. Statistical process control of overdispersed count data based on one-parameter Poisson mixture models. Quality and Reliability Engineering International, v. 38, n. 5, p. 2324-2344, 2022Tradução . . Disponível em: https://doi.org/10.1002/qre.3077. Acesso em: 03 nov. 2024.APA
Jesus, B. D., Ferreira, P. H., Boaventura, L. L., Fiaccone, R. L., Silva, W. B. da, Ramos, P. L., & Louzada, F. (2022). Statistical process control of overdispersed count data based on one-parameter Poisson mixture models. Quality and Reliability Engineering International, 38( 5), 2324-2344. doi:10.1002/qre.3077NLM
Jesus BD, Ferreira PH, Boaventura LL, Fiaccone RL, Silva WB da, Ramos PL, Louzada F. Statistical process control of overdispersed count data based on one-parameter Poisson mixture models [Internet]. Quality and Reliability Engineering International. 2022 ; 38( 5): 2324-2344.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1002/qre.3077Vancouver
Jesus BD, Ferreira PH, Boaventura LL, Fiaccone RL, Silva WB da, Ramos PL, Louzada F. Statistical process control of overdispersed count data based on one-parameter Poisson mixture models [Internet]. Quality and Reliability Engineering International. 2022 ; 38( 5): 2324-2344.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1002/qre.3077
