摘要
对一大类非参数回归函数,基于m(n)相依样本构造了回归函数的近邻估计并在合适的条件下获得了估计的一致强相合性及收敛速度.
For a wide class of nonparametric regression functions, the nearest neighbor estimator is constructed and rate of convergence for the estimator are obtained under some reasonable con-ditions.
出处
《应用概率统计》
CSCD
北大核心
1998年第1期55-65,共11页
Chinese Journal of Applied Probability and Statistics
关键词
强一致相合性
相依样本
回归函数
非参数回归
and phrases: Strong uniform consistency, k-nearest neighbour weights, m(n)-dependent sample