摘要
本文基于二维随机样本 {(Xi,Yi) ,i≥ 1 }的伴随次序统计量Y[r,n] ,定义了回归函数的核估计 ,在一定条件下 ,获得了回归函数核估计的强相合性 ,推广了已有文献中的部分结果 .
The large sample nature of kernal estimation for Regression function have been considered by many authors,which are based on original sample {(X i,Y i),i≥1}.However,in this paper,based on induced statistics Y [r,n] from {(X i,Y i),i≥1},we defined the kernal estimation of regression function and obtained its strong consistance.
出处
《应用数学》
CSCD
北大核心
2004年第3期464-467,共4页
Mathematica Applicata
关键词
伴随次序统计量
核估计
强相合
回归函数
Kernel estimation
Strong consistance
Induced order statistics