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Asymptotic Expansions in Non-central Limit Theorems for Quadratic Forms
Authors:Email author" target="_blank">F?G?tzeEmail author  A?N?Tikhomirov
Institution:1.Fakult?t für Mathematik,Universit?t Bielefeld,Bielefeld 1,Germany;2.Faculty of Mathematics,Syktyvkar,Russia;3.The Mathematical Department of IMM of the Ural Branch of Russian Academia of Sciences,Syktyvkar State University,Russia
Abstract:We consider quadratic forms of the type
$$ Q(F,{\bf A})=\sum_{\mathop{1\le j,k \le N}\limits_{j\ne k}}a_{jk} X_j X_k, $$
where Xj are i.i.d. random variables with common distribution F and finite fourth moment, $${\bf A}=\{a_{jk}\}_{j,k=1}^N$$ denotes a symmetric matrix with eigenvalues λ1, ..., λN ordered to be non-increasing in absolute value. We prove explicit bounds in terms of sums of 4th powers of entries of the matrix A and the size of the eigenvalue λ13 for the approximation of the distribution of Q(F,A) by the distribution of Q (φ, A) where φ is standard Gaussian distribution. In typical cases this error is of optimal order $${\cal {O}}(N^{-1})$$ Supported by the DFG-Forschergruppe FOR 399/1-1 at Bielefeld. Partially supported by INTAS N 03-51-5018. Partially supported by RFBR and RFBR–DFG, grants NN 02-01-00233, 04-01-04000
Keywords:Non-central limit theorems  quadratic forms  random vectors
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