Time Series Forecasting
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Time Series Forecasting
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Duration 54:41
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See how to:
- Launch Time Series Forecasting specialized modeling
- Understand how a recommended set of models are automatically fit to the time series and how optimal models are used for forecasting
- Select and interpret forecast settings, including NAhead, Period, NHoldout, Preserve Model Selection Criterion, Forecast Interval Level and Imputation for Applicable Models
- Interpret best forecasting models for each series
- Save forecasts
- Understand technical details about time series components and state space smoothing models
- Handle missing values and choose imputation method
- Forecast using Graph Builder
- Use JMP 16 Holdback capability
Q&A is interspersed beginning at ~ Time 28:00.
Resources
- 2022 Mastering JMP video and materials on Buidling and Interpreting ARIMA and Seasonal ARIMA Models
- 2021 JMP Discovery video presentation and materials by Liu and Cao on JMP 16 Time Series platform updates.
- 2019 JMP Discovery materials for Building Better Forecasting Models with Transfer Functions
Start:
Wed, Jul 1, 2020 02:00 PM EDT
End:
Wed, Jul 1, 2020 03:00 PM EDT
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