首页 | 本学科首页   官方微博 | 高级检索  
     


Asymptotic Distribution of Quadratic Forms and Applications
Authors:F. Götze  A. Tikhomirov
Affiliation:(1) Fakultät für Mathematik, Universität Bielefeld, University of Bielefeld, 33501 Bielefeld 1, Germany;(2) Fakulty of Mathematics, Syktyvkar State University and Mathematical Department of IMM of the Russian Academy of Sciences, Oktjabrskyi prospekt 55, 167001 Syktyvkar, Russia
Abstract:We consider the quadratic formsQ
$$sumlimits_{mathop {1 leqslant j,k leqslant N}limits_{j ne k} } {a_{jk} } $$
XjXk+
$$sumlimits_{j = 1}^N {a_{jj} } $$
(Xj2-EXj2)where Xj are i.i.d. random variables with finite sixth moment. For a large class of matrices (ajk) the distribution of Q can be approximated by the distribution of a second order polynomial in Gaussian random variables. We provide optimal bounds for the Kolmogorov distance between these distributions, extending previous results for matrices with zero diagonals to the general case. Furthermore, applications to quadratic forms of ARMA-processes, goodness-of-fit as well as spacing statistics are included.
Keywords:independent random variables  quadratic forms  asymptotics of distribution  limit theorems  Berry–  Esseen bounds
本文献已被 SpringerLink 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号