AN INTRODUCTION TO KERNEL AND NEAREST-NEIGHBOR NONPARAMETRIC REGRESSION

被引:3892
作者
ALTMAN, NS
机构
关键词
CONFIDENCE INTERVALS; LOCAL LINEAR REGRESSION; MODEL BUILDING; MODEL CHECKING; SMOOTHING;
D O I
10.2307/2685209
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
Nonparametric regression is a set of techniques for estimating a regression curve without making strong assumptions about the shape of the true regression function. These techniques are therefore useful for building and checking parametric models, as well as for data description. Kernel and nearest-neighbor regression estimators are local versions of univariate location estimators, and so they can readily be introduced to beginning students and consulting clients who are familiar with such summaries as the sample mean and median.
引用
收藏
页码:175 / 185
页数:11
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