BUMP HUNTING IN REGRESSION-ANALYSIS

被引：9

作者：

HECKMAN, NE ^{[1
]}

机构：

[1] UNIV BRITISH COLUMBIA,DEPT STAT,VANCOUVER V6T 1Z2,BC,CANADA

来源：

STATISTICS & PROBABILITY LETTERS | 1992年 / 14卷 / 02期

关键词：

MODE; BUMP HUNTING; POISSON APPROXIMATION;

D O I：

10.1016/0167-7152(92)90078-J

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：

Computer techniques for scatter-plot smoothing are valuable exploratory analysis tools. However, one must exercise caution when making inferences based on features of the smoothed data. Here, the size and number of observed modes are studied: the asymptotic distributions are determined under the assumption of constancy of the true regression function, and sufficient conditions for consistency of the estimated number of modes and their locations are given in the general case.

引用

页码：141 / 152

页数：12

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