摘要
文章基于平稳遍历函数型数据,构造非参数回归算子的递归M估计,在一定条件下建立了递归估计量的几乎完全一致收敛速度,推广了现有文献中的相关结果。
In this paper, recursive method is adopted to study recursive M -estimation of functional nonparametric regression model for functional stationary ergodic data. Under some conditions, the uniform almost complete convergence rate of regression operator estimation is established. The results generalize the relevant results in the existing literature.
作者
陈楚曦
凌能祥
凌劲
刘阳
CHEN Chuxi;LING Nengxiang;LING Jing;LIU Yang(School of Mathematics, Hefei University of Technology, Hefei 230009, China;Maintenance Branch, State Grid Anhui Electric Power Co., Ltd., Hefei 230061, China;Environmental Monitoring Central Station of Anhui Province, Hefei 230071, China)
出处
《合肥工业大学学报(自然科学版)》
CAS
北大核心
2019年第5期710-714,共5页
Journal of Hefei University of Technology:Natural Science
关键词
M估计
递归估计
遍历数据
几乎完全收敛
收敛速度
M -estimation
recursive estimation
ergodic data
almost complete convergence
convergence rate