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.
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Leung, P.L., Chan, W.Y. Estimation of the Scale Matrix and its Eigenvalues in the Wishart and the Multivariate F Distributions. Annals of the Institute of Statistical Mathematics 50, 523–530 (1998). https://doi.org/10.1023/A:1003529529228
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DOI: https://doi.org/10.1023/A:1003529529228