SPC for Autocorrelated Data Using Automated Time Series Forecasting

This session introduces recent developments in time series forecasting that use modern techniques with automatic model selection to accurately pick the simplest time series model that produce minimum forecast error.

Presenter Details

John Noguera

Presentation Video

ISSSP Presentation Video Preview

Additional Resources

  • Airline-Passengers.xlsx
  • Demo-of-Simple-Exponential-Smoothing-EWMA.xlsx
  • SeriesA-Concentration.xlsx
  • SeriesG-Airline-Passenger-Data.xlsx

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