Definitions from Wikipedia (Stein's example)

▸ noun:  In decision theory and estimation theory, (also known as Stein's phenomenon or Stein's paradox) the observation that when three or more parameters are estimated simultaneously, there exist combined estimators more accurate on average (that is, having lower expected mean squared error) than any method that handles the parameters separately.


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