Categories of Forecasting Models
Below is a brief overview of the four categories of models and examples of the techniques described in this guide.
JUDGMENTAL MODELS
• These models rely on intuitive judgments, opinions, and probabilities.
TECHNOLOGICAL FORECASTING MODELS
• These methods also rely on judgment and are particularly appropriate for very new technologies and very long-range forecasting.
• Extrapolation of Trends
TIME SERIES MODELS
• These models are based only on past data. The focus is on using patterns, changes, disturbances, etc. in the data to forecast the future.
CAUSAL MODELS
• Models based on the relationship between predictable factors and outcomes.