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