Final answer:
Among the methods listed, moving average and exponential smoothing are time series forecasting techniques. The Delphi technique is a structured communication method and mean absolute deviation is a measure of forecast accuracy.
Step-by-step explanation:
The student has inquired about techniques used in time series forecasting. There are various methods used to project future data based on historical data. Among the techniques listed, moving average and exponential smoothing are considered time series forecasting techniques. The moving average helps smooth out short-term fluctuations and highlight longer-term trends or cycles. Exponential smoothing is a time series forecasting method for univariate data that can be extended to support data with a systematic trend or seasonal component.
The Delphi technique is not a time series forecasting technique. Instead, it is a structured communication technique, originally developed as a systematic, interactive forecasting method which relies on a panel of experts. The mean absolute deviation is a measure used to assess the accuracy of a forecasting method, not a forecasting technique itself.