摘要
本文研究了基于一个delta -序列和一列独立同分布且取值于R随机变量的非参数密度估计的对称检验问题,用经验过程的方法,得到了相应的量满足大偏差原理,推广了文献[3]的结果.
In the paper, we study the symmetry test for the non-parametric density estimator based on a delta-sequence and a sequence of independent and identically distributed random variables taking values in R. The large deviations principle for the corresponding statistics are obtained by empirical approach, which extends the results of ref [3].
出处
《数学杂志》
CSCD
北大核心
2009年第4期413-418,共6页
Journal of Mathematics
基金
Supported by the foundation of the Hubei Provincial depart ment of education(B20091107)
