COMPLETE CUBIC SPLINE ESTIMATION OF NONPARAMETRIC REGRESSION-FUNCTIONS

被引：2
|
作者：
FABIAN, V
机构：
[1] Department of Statistics and Probability, Michigan State University, East Lansing, 48824-1027, MI
来源：
PROBABILITY THEORY AND RELATED FIELDS | 1990年 / 85卷 / 01期
关键词：
D O I：
10.1007/BF01377628
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：
For regression functions on [0, 1] with bounded fourth derivatives, a complete cubic spline estimate is proposed and shown to have an asymptotically optimal error rate among all estimates. The error is measured by the supremum norm. © 1990 Springer-Verlag.
引用
收藏
页码：57 / 64
页数：8
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