摘要
文章基于相依函数型数据,通过一种具有稳健性质的方法,研究了条件分位数核估计,避免了采用双核方法中存在的问题;并在一定的条件下建立了估计量的几乎完全收敛的速度,推广了现有文献的结果。
In this paper, a kernel estimate of conditional quantile is investigated on the basis of dependent functional data by using a method with robust property. It can avoid the problems which may occur by using the double-kernel method. The almost complete convergence rate of the estimators is established under certain conditions which extends the results in the related literature.
出处
《合肥工业大学学报（自然科学版）》
CAS
CSCD
北大核心
2010年第4期613-615,624,共4页
Journal of Hefei University of Technology：Natural Science
基金
合肥工业大学精品课程资助项目(YJC2008Y07)
关键词
相依函数型数据
条件分位数估计
几乎完全收敛速度
dependent functional data
conditional quantile estimate
almost complete convergence rate
