Abstract
Estimation of the means of independent normal random variables is considered, using sum of squared errors as loss. An unbiased estimate of risk is obtained for an arbitrary estimate, and certain special classes of estimates are then discussed. The results are applied to smoothing by use of moving averages and to trimmed analogs of the James-Stein estimate. A suggestion is made for calculating approximate confidence sets for the mean vector centered at an arbitrary estimate.
Keywords
MathematicsStatisticsMultivariate normal distributionSmoothingConfidence intervalMultivariate statisticsEstimationMean squared errorNormal distributionMultivariate random variableRandom variableDistribution (mathematics)Applied mathematicsMathematical analysis
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Publication Info
- Year
- 1981
- Type
- article
- Volume
- 9
- Issue
- 6
- Citations
- 2709
- Access
- Closed
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Cite This
Charles Stein
(1981).
Estimation of the Mean of a Multivariate Normal Distribution.
The Annals of Statistics
, 9
(6)
.
https://doi.org/10.1214/aos/1176345632
Identifiers
- DOI
- 10.1214/aos/1176345632