Shrinkage estimators are weighted averages of historical data and some other estimate, where the weights and other estimates are defined by the analyst. Shrinkage estimators reduce (shrink) the influence of historical outliers through the weighting process. This tool is most useful when the data set is so small that historical values are not reliable estimates of future parameters. |
