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- Stein's_example abstract "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, there exist combined estimators more accurate on average (that is, having lower expected mean-squared error) than any method that handles the parameters separately. An intuitive explanation is that optimizing for the mean-squared error of a combined estimator is not the same as optimizing for the errors of separate estimators of the individual parameters. In practical terms, if the combined error is in fact of interest, then a combined estimator should be used, even if the underlying parameters are independent; this occurs in channel estimation in telecommunications, for instance (different factors affect overall channel performance). On the other hand, if one is instead interested in estimating an individual parameter, then using a combined estimator does not help and is in fact worse.".
- Stein's_example wikiPageExternalLink 1200501656.
- Stein's_example wikiPageExternalLink Article1977.pdf.
- Stein's_example wikiPageID "1887212".
- Stein's_example wikiPageRevisionID "597180056".
- Stein's_example hasPhotoCollection Stein's_example.
- Stein's_example subject Category:Decision_theory.
- Stein's_example subject Category:Mathematical_examples.
- Stein's_example subject Category:Statistical_paradoxes.
- Stein's_example type Abstraction100002137.
- Stein's_example type Cognition100023271.
- Stein's_example type Communication100033020.
- Stein's_example type Contradiction107206887.
- Stein's_example type Example105820620.
- Stein's_example type Falsehood106756407.
- Stein's_example type Information105816287.
- Stein's_example type MathematicalExamples.
- Stein's_example type Message106598915.
- Stein's_example type Paradox106724559.
- Stein's_example type PsychologicalFeature100023100.
- Stein's_example type Statement106722453.
- Stein's_example type StatisticalParadoxes.
- Stein's_example comment "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, there exist combined estimators more accurate on average (that is, having lower expected mean-squared error) than any method that handles the parameters separately.".
- Stein's_example label "Paradosso di Stein".
- Stein's_example label "Stein's example".
- Stein's_example sameAs Paradosso_di_Stein.
- Stein's_example sameAs m.063v66.
- Stein's_example sameAs Q3895097.
- Stein's_example sameAs Q3895097.
- Stein's_example sameAs Stein's_example.
- Stein's_example wasDerivedFrom Stein's_example?oldid=597180056.
- Stein's_example isPrimaryTopicOf Stein's_example.