e/Stein's example

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has glosseng: Stein's example (or phenomenon or paradox), in decision theory and estimation theory, is the phenomenon that when three or more parameters are estimated simultaneously, their combined estimator is more accurate (has lower expected mean-squared error) than any method that handles the parameters separately. This is surprising since the parameters and the measurements might be totally unrelated. The phenomenon is named after its discoverer, Charles Stein.
lexicalizationeng: Stein's example
instance ofc/Mathematical examples
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Italian
lexicalizationita: Paradosso di Stein

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