A comparison of local constant and local linear regression quantile estimators

被引:44
|
作者
Yu, KM [1 ]
Jones, MC [1 ]
机构
[1] OPEN UNIV,DEPT STAT,MILTON KEYNES MK7 6AA,BUCKS,ENGLAND
关键词
boundary behaviour; conditional quantile; kernel smoothing; local polynomial fit;
D O I
10.1016/S0167-9473(97)00006-6
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Two popular nonparametric conditional quantile estimation methods, local constant fitting and local linear fitting, are compared. We note the relative lack of differences in results between the two approaches. While maintaining the expected preference for the local linear version, the arguments in favour are relatively slight, at least in the interior, and not as compelling as may be thought. The main differences between the approaches lie at the boundaries. (C) 1997 Elsevier Science B.V.
引用
收藏
页码:159 / 166
页数:8
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