摘要
非参数函数的BRPA估计在实际中具有一定的应用价值.本文在一定条件下获得BRPA估计的强相合性,其推广现有文献的结果.本文结果通过蒙特卡洛方法验证.
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.
出处
《南京师大学报（自然科学版）》
CAS
CSCD
北大核心
2015年第4期57-60,共4页
Journal of Nanjing Normal University(Natural Science Edition)
基金
Supported by National Science Foundation of China(11271193)
Humanities and Social Sciences Planning Foundation of Chinese Ministry of Education(11YJA910004)
Natural Science Foundation of the Jiangsu Higher Education Institutions of China(13KJD110004)
the Returned Overseas Fund of Nanjing Normal University(2014101XLH0194)
关键词
BRPA估计
非参数回归
次序统计量
强相合性
BRPA estimator, nonparametric regression, order statistics, strong consistency
