A Modeling Methodology for Positive Autocorrelated Process Data

A Modeling Methodology for Positive Autocorrelated Process Data

Autocorrelated statistical process control that is widely employed in process control environments typically uses the autoregressive integrated moving average (ARIMA) model in fitting autocorrelated time series data. Nevertheless, ARIMA entails laborious iterative modeling procedures and is commente...

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Bibliographic Details
Published in:Proceedings - 2022 International Conference on Computer and Drone Applications, IConDA 2022
Main Author: Lee S.L.; Liew C.Y.; Chen C.K.; Voon L.L.
Format: Conference paper
Language:English
Published: Institute of Electrical and Electronics Engineers Inc. 2022
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85146640547&doi=10.1109%2fICONDA56696.2022.10000275&partnerID=40&md5=63a3e137941dfb9afdbc7b37cd94fe12

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https://www.scopus.com/inward/record.uri?eid=2-s2.0-85146640547&doi=10.1109%2fICONDA56696.2022.10000275&partnerID=40&md5=63a3e137941dfb9afdbc7b37cd94fe12

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