Abstract
The conditions of asymptotic normality of the variables\(\eta _n = _{1 \leqslant i_j< ...< i, \leqslant 11}^{ \Sigma H(\delta _{lj} ,...,\delta _{ir} )} \) are studied for n→∞ and m→∞, with H(x1, ..., xr) denoting Hermitian polynomials in (Rm)r, and the ξ1, ..., ξn being independent Gaussian vectors in X=Rm with a zero mean and a unit correlation operator.
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A. V. Skorokhod and V. I. Stepakhno, “On an extension of Hermitian polynomials,” Ukr. Mat. Zh.,42, No. 5, 636–642 (1990).
I. I. Gikhman and A. V. Skorokhod, Stochastic Differential Equations and Their Applications [in Russian], Naukova Dumka, Kiev (1982).
J. Jacod and A. N. Shiryaev, Limit Theorems for Stochastic Processes, Springer-Verlag, New York (1987).
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Translated from Ukrainskii Matematicheskii Zhurnal, Vol. 42, No. 12, pp. 1681–1686, December, 1990.
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Skorokhod, A.V., Stepakhno, V.I. A central limit theorem for Hermitian polynomials of independent Gaussian variables. Ukr Math J 42, 1515–1521 (1990). https://doi.org/10.1007/BF01060823
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DOI: https://doi.org/10.1007/BF01060823