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Canonical spectral equation for empirical covariance matrices

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Abstract

We study asymptotic properties of normalized spectral functions of empirical covariance matrices in the case of a nonnormal population. It is shown that the Stieltjes transforms of such functions satisfy a socalled canonical spectral equation.

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References

  1. V. L. Girko,Random Matrices [in Russian], Kiev University, Kiev (1975).

    Google Scholar 

  2. V. L. Girko,Multidimensional Statistical Analysis [in Russian], Vyshcha Shkola, Kiev (1988).

    Google Scholar 

  3. V. L. Girko,Spectral Theory of Random Matrices [in Russian], Nauka, Moscow (1988).

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  4. V. L. Girko,Theory of Random Determinants, Kluwer, Dordrecht-Boston-London (1990).

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  5. V. L. Girko,Theory of Empirical Systems of Equations [in Russian], Lybid, Kiev (1990).

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  6. V. A. Marchenko and L. A. Pastur, “Distribution of eigenvalues in some sets of random matrices,”Mat. Sb.,1, 457–483 (1967).

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  7. M. L. Mehta,Random Matrices and the Statistical Theory of Energy Levels, Academic Press, New York (1967).

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Translated from Ukrainskii Matematicheskii Zhurnal, Vol. 47, No. 9, pp. 1176–1189, September, 1995.

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Girko, V.L. Canonical spectral equation for empirical covariance matrices. Ukr Math J 47, 1341–1355 (1995). https://doi.org/10.1007/BF01057509

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  • DOI: https://doi.org/10.1007/BF01057509

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