To modify an estimate by moving it towards a benchmark. For example, one could shrink parameters of a model based on an individual product toward those of a model built from a general class of products. In general, shrinking reduces the size of effects (e.g., the trend or the difference from a typical case). Shrinking is useful where uncertainty exists. (See mitigation.)