Statistical process control of overdispersed count data based on one-parameter Poisson mixture models (2022)
- Authors:
- Autor USP: LOUZADA NETO, FRANCISCO - ICMC
- Unidade: ICMC
- DOI: 10.1002/qre.3077
- Subjects: PROCESSOS DE POISSON; DISTRIBUIÇÕES (PROBABILIDADE); DADOS DE CONTAGEM
- Keywords: average run length; one-parameter poisson mixture chart; overdispersion
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Quality and Reliability Engineering International
- ISSN: 0748-8017
- Volume/Número/Paginação/Ano: v. 38, n. 5, p. 2324-2344, 2022
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
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: 20 fev. 2026. -
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.3077 -
NLM
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 2026 fev. 20 ] Available from: https://doi.org/10.1002/qre.3077 -
Vancouver
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 2026 fev. 20 ] Available from: https://doi.org/10.1002/qre.3077 - Novos modelos de regressão binária usando funções de ligação simétricas e assimétricas
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Informações sobre o DOI: 10.1002/qre.3077 (Fonte: oaDOI API)
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