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A robust generalized Bayes estimator improving on the James-Stein estimator for spherically symmetric distributions
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Yuzo Maruyama
Published/Copyright:
September 25, 2009
Summary
The problem of estimating a mean vector for spherically symmetric distributions with the quadratic loss function is considered. A robust generalized Bayes estimator improving on the James-Stein estimator is given.
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Published Online: 2009-09-25
Published in Print: 2003-01-01
© 2003 Oldenbourg Wissenschaftsverlag GmbH
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Articles in the same Issue
- Editorial Note
- A note on Bayesian detection of change-points with an expected miss criterion
- The estimation problem of minimum mean squared error
- Parameter estimation for some non-recurrent solutions of SDE
- Variational sums and power variation: a unifying approach to model selection and estimation in semimartingale models
- A robust generalized Bayes estimator improving on the James-Stein estimator for spherically symmetric distributions
- Tail behaviour of a general family of control charts
