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Artigo de periodico
Application of Statistical Monitoring Using Autocorrelated Data and With the Influence of Multicollinearity in a Steel Process (2021)
Pimenta, Cristie Diego; Silva, Messias Borges; Marins, Fernando Augusto Silva; Silva, Aneirson Francisco da
Source: International journal of statistics and probability. Unidade: EEL
Assunto: ENGENHARIA DE PRODUÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
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: 15 jun. 2025.
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.v10n4p96
NLM
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 2025 jun. 15 ] Available from: https://doi.org/10.5539/ijsp.v10n4p96
Vancouver
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 2025 jun. 15 ] Available from: https://doi.org/10.5539/ijsp.v10n4p96
Artigo de periodico
Application of Principal Component Analysis and Response Surface Methodology in the Process of Steel Wire Tempering (2020)
Pimenta, Cristie Diego; Silva, Messias Borges ; Gomes, Fabrício Maciel ; Campos, Rose Lima de Morais
Source: International journal of statistics and probability. Unidade: EEL
Assunto: ENGENHARIA QUÍMICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PIMENTA, Cristie Diego et al. Application of Principal Component Analysis and Response Surface Methodology in the Process of Steel Wire Tempering. International journal of statistics and probability, v. 9, n. 1, p. 9-29, 2020Tradução . . Disponível em: https://doi.org/10.5539/ijsp.v9n1p9. Acesso em: 15 jun. 2025.
APA
Pimenta, C. D., Silva, M. B., Gomes, F. M., & Campos, R. L. de M. (2020). Application of Principal Component Analysis and Response Surface Methodology in the Process of Steel Wire Tempering. International journal of statistics and probability, 9( 1), 9-29. doi:10.5539/ijsp.v9n1p9
NLM
Pimenta CD, Silva MB, Gomes FM, Campos RL de M. Application of Principal Component Analysis and Response Surface Methodology in the Process of Steel Wire Tempering [Internet]. International journal of statistics and probability. 2020 ; 9( 1): 9-29.[citado 2025 jun. 15 ] Available from: https://doi.org/10.5539/ijsp.v9n1p9
Vancouver
Pimenta CD, Silva MB, Gomes FM, Campos RL de M. Application of Principal Component Analysis and Response Surface Methodology in the Process of Steel Wire Tempering [Internet]. International journal of statistics and probability. 2020 ; 9( 1): 9-29.[citado 2025 jun. 15 ] Available from: https://doi.org/10.5539/ijsp.v9n1p9
Artigo de periodico
Application of Principal Component Analysis and Response Surface Methodology in the Process of Steel Wire Tempering (2019)
Pimenta, Cristie Diego; Silva, Messias Borges ; Campos, Rose Limade Morais; Gomes, Fabrício Maciel
Source: International journal of statistics and probability. Unidade: EEL
Assunto: ENGENHARIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PIMENTA, Cristie Diego et al. Application of Principal Component Analysis and Response Surface Methodology in the Process of Steel Wire Tempering. International journal of statistics and probability, v. 9, n. 1, p. 9-29, 2019Tradução . . Disponível em: https://doi.org/10.5539/ijsp.v9n1p9. Acesso em: 15 jun. 2025.
APA
Pimenta, C. D., Silva, M. B., Campos, R. L. M., & Gomes, F. M. (2019). Application of Principal Component Analysis and Response Surface Methodology in the Process of Steel Wire Tempering. International journal of statistics and probability, 9( 1), 9-29. doi:10.5539/ijsp.v9n1p9
NLM
Pimenta CD, Silva MB, Campos RLM, Gomes FM. Application of Principal Component Analysis and Response Surface Methodology in the Process of Steel Wire Tempering [Internet]. International journal of statistics and probability. 2019 ;9( 1): 9-29.[citado 2025 jun. 15 ] Available from: https://doi.org/10.5539/ijsp.v9n1p9
Vancouver
Pimenta CD, Silva MB, Campos RLM, Gomes FM. Application of Principal Component Analysis and Response Surface Methodology in the Process of Steel Wire Tempering [Internet]. International journal of statistics and probability. 2019 ;9( 1): 9-29.[citado 2025 jun. 15 ] Available from: https://doi.org/10.5539/ijsp.v9n1p9

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