On the effect of misspecifying the error density in a deconvolution problem

被引:32
作者
Meister, A [1 ]
机构
[1] Univ Stuttgart, Inst Stochast & Anwendungen, DE-70569 Stuttgart, Germany
来源
CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE | 2004年 / 32卷 / 04期
关键词
asymptotic behaviour; deconvolution; density estimation; misspecification; robustness;
D O I
10.2307/3316026
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
The author studies the effect of a misspecification of the error density on the mean integrated squared error (MISE) of the deconvolution estimator. He shows that the MISE converges to a certain functional which he defines. He also illustrates the fact that the limit can sometimes be infinite. Finally, he derives some guidelines for selecting the error density in order to ensure robustness properties of the procedure.
引用
收藏
页码:439 / 449
页数:11
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