ISSN:
1572-9052
Keywords:
Covariance matrix
;
orthogonally invariant estimator
;
decision-theoretic estimation
;
shrinkage estimator
Source:
Springer Online Journal Archives 1860-2000
Topics:
Mathematics
Notes:
Abstract In this paper, the problem of estimating the scale matrix and their eigenvalues in a Wishart distribution and in a multivariate F distribution (which arise naturally from a two-sample setting) are considered. A new class of estimators which shrink the eigenvalues towards their arithmetic mean are proposed. It is shown that the new estimator which dominates the usual unbiased estimator under the squared error loss function. A simulation study was carried out to study the performance of these estimators.
Type of Medium:
Electronic Resource
URL:
http://dx.doi.org/10.1023/A:1003529529228
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