JMP Time Series Forecast efficiently fits up to 30 different forecasting models in the exponential smoothing family and automatically selects the best- fitting model. This is in contrast to the JMP Time Series platform, which requires manual selection of a best-fitting model and uses ARIMA models.
See how to use JMP 16 to forecast single and multiple time series. Included are the key JMP enhancements over previous versions, including model selection and holdback capability. Understand the application and value of JMP deploying State Space Saving Models.
Time Series Forecast Model Selection
Time Series Forecast Model Summary - Parameter Estimates
Time Series Forecast - Saving Results
Resources
