課程大綱： Predictive Modelling with R培訓
Problems facing forecasters
Customer demand planning
Investor uncertainty
Economic planning
Seasonal changes in demand/utilization
Roles of risk and uncertainty
Time series Forecasting
Seasonal adjustment
Moving average
Exponential smoothing
Extrapolation
Linear prediction
Trend estimation
Stationarity and ARIMA modelling
Econometric methods (casual methods)
Regression analysis
Multiple linear regression
Multiple non-linear regression
Regression validation
Forecasting from regression
Judgemental methods
Surveys
Delphi method
Scenario building
Technology forecasting
Forecast by analogy
Simulation and other methods
Simulation
Prediction market
Probabilistic forecasting and Ensemble forecasting
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