Estimation of the eigenvalues of noncentrality parameter matrix in noncentral Wishart distribution
We consider the problem of estimating the eigenvalues of noncentrality parameter matrix in noncentral Wishart distribution when the scale parameter is known. A decision theoretic approach is taken with squared error as the loss function. We propose two new estimators and show their superior performance to an usual estimator theoretically and numerically.
Year of publication: |
2005
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Authors: | Gupta, A. K. ; Sheena, Y. ; Fujikoshi, Y. |
Published in: |
Journal of Multivariate Analysis. - Elsevier, ISSN 0047-259X. - Vol. 93.2005, 1, p. 1-20
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Publisher: |
Elsevier |
Keywords: | Maximum likelihood estimator Risk Orthogonally invariant estimator Monte Carlo simulations |
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