STRONG UNIFORM CONSISTENCY OF K-NEAREST NEIGHBOR REGRESSION FUNCTION ESTIMATORS

被引：0

作者：

QIN, GS ^{[1
]}

CHENG, P ^{[1
]}

机构：

[1] ACAD SINICA,INST SYST SCI,BEIJING 10080,PEOPLES R CHINA

来源：

SCIENCE IN CHINA SERIES A-MATHEMATICS PHYSICS ASTRONOMY | 1994年 / 37卷 / 09期

关键词：

STRONG UNIFORM CONSISTENCY; K-NEAREST NEIGHBOR WEIGHTS; CLASS K METHOD; CENSORED DATA;

D O I：

暂无

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

For a wide class of nonparametric regression functions, the nearest neighbor estimator is constructed, and the uniform measure of deviation from the estimator to the regression function is studied. Under some mild conditions, it is shown that the estimators are uniformly strongly consistent for both randomly complete data and censored data.

引用

页码：1032 / 1040

页数：9

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