Articles

MODERATE DEVIATIONS AND LARGE DEVIATIONS FOR A TEST OF SYMMETRY#br# BASED ON KERNEL DENSITY ESTIMATOR

  • He Xiaoxia ,
  • Gao Fuqing
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  • School of Mathematics and Statistics, Wuhan University, Wuhan 430072, China

Received date: 2005-09-15

  Revised date: 2006-10-08

  Online published: 2008-07-20

Abstract

Let fn be a non-parametric kernel density estimator based on a kernel function K. and a sequence of independent and identically distributed random variables taking values in <b>R</b>. The goal of this article is to prove moderate deviations and large deviations for the statistic
$\sup\limits_{x\in{{\Bbb R}}}| {f_{n}(x)-f_{n}(-x)}| $.

Cite this article

He Xiaoxia , Gao Fuqing . MODERATE DEVIATIONS AND LARGE DEVIATIONS FOR A TEST OF SYMMETRY#br# BASED ON KERNEL DENSITY ESTIMATOR[J]. Acta mathematica scientia, Series B, 2008 , 28(3) : 665 -674 . DOI: 10.1016/S0252-9602(08)60068-5

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