Source: International journal of statistics and probability. Unidade: EEL
Assunto: ENGENHARIA DE PRODUÇÃO
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PIMENTA, Cristie Diego et al. Application of Statistical Monitoring Using Autocorrelated Data and With the Influence of Multicollinearity in a Steel Process. International journal of statistics and probability, v. 10, n. 4, p. 96-118, 2021Tradução . . Disponível em: https://doi.org/10.5539/ijsp.v10n4p96. Acesso em: 03 jan. 2026.APA
Pimenta, C. D., Silva, M. B., Marins, F. A. S., & Silva, A. F. da. (2021). Application of Statistical Monitoring Using Autocorrelated Data and With the Influence of Multicollinearity in a Steel Process. International journal of statistics and probability, 10( 4), 96-118. doi:10.5539/ijsp.v10n4p96NLM
Pimenta CD, Silva MB, Marins FAS, Silva AF da. Application of Statistical Monitoring Using Autocorrelated Data and With the Influence of Multicollinearity in a Steel Process [Internet]. International journal of statistics and probability. 2021 ;10( 4): 96-118.[citado 2026 jan. 03 ] Available from: https://doi.org/10.5539/ijsp.v10n4p96Vancouver
Pimenta CD, Silva MB, Marins FAS, Silva AF da. Application of Statistical Monitoring Using Autocorrelated Data and With the Influence of Multicollinearity in a Steel Process [Internet]. International journal of statistics and probability. 2021 ;10( 4): 96-118.[citado 2026 jan. 03 ] Available from: https://doi.org/10.5539/ijsp.v10n4p96
