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Strong Consistency of BRPA Estimators for Maximizer of Nonparametric Regression Function(PDF)

《南京师大学报（自然科学版）》[ISSN:1001-4616/CN:32-1239/N]

Issue:
2015年04期
Page:
57-
Research Field:
数学
Publishing date:

Info

Title:
Strong Consistency of BRPA Estimators for Maximizer of Nonparametric Regression Function
Author(s):
Zhu Chunhua1; Gao Qibing2
（1. School of Mathematics and Statistics，Nanjing Audit University，Nanjing 211815，China）（2. School of Mathematics，Nanjing Normal University，Nanjing 210023，China）
Keywords:
BRPA estimator; nonparametric regression; order statistics; strong consistency
PACS:
O212.1
DOI:
-
Abstract:
The best-r-point-average（BRPA）estimator of the maximizer of regression function has certain merits in application. The strong consistency of the BRPA estimator is obtained under the certain conditions which extends the existing results. The results are illustrated by Monte-Carlo simulations.

References:

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Memo

Memo:
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Last Update: 2015-12-30