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Geometric Brownian Motion-Based Time Series Modeling Methodology for Statistical Autocorrelated Process Control: Logarithmic Return Model
15 references·0 citing·41 second hop
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References

  • 1992Introduction to Statistical Quality Control7,842 cited
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  • 1990Forecasting, Structural Time Series Models and the Kalman Filter4,148 cited
  • 2002Multivariate Statistical Process Control with Industrial Applications443 cited
  • 2008Introduction to Time Series Analysis and Forecasting178 cited
  • 2016An Overview of Control Charts for High‐quality Processes143 cited
  • 2019Recent developments of control charts, identification of big data sources and future trends of current research86 cited
  • 2014The Effect of Autocorrelation on the Hotelling T2 Control Chart51 cited
  • 2015The effect of the autocorrelation on the performance of the T 2 chart36 cited
  • 2020Multivariate SPC methods for controlling manufacturing processes using predictive models – A case study in the automotive sector32 cited
  • 2011Effective Control Charts for Monitoring Multivariate Process Dispersion21 cited
  • 2019Optimal design of an attribute control chart for monitoring the mean of autocorrelated processes19 cited
  • 2019Some Recent Studies in Statistical Process Control18 cited
  • 2019Control chart based on residues: Is a good methodology to detect outliers?11 cited
  • 2012

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Practical Concepts of Quality Control
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