Consistency of the beta kernel density function estimator

被引:36
作者
Bouezmarni, T [1 ]
Rolin, JM [1 ]
机构
[1] Univ Catholique Louvain, Inst Stat, B-1348 Louvain, Belgium
来源
CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE | 2003年 / 31卷 / 01期
关键词
asymptotic behaviour; asymptotics; beta kernel; density estimation; L-1; error; weak convergence;
D O I
10.2307/3315905
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 authors give the exact asymptotic behaviour of the expected average absolute error of a beta kernel density estimator proposed by Chen (1999). They also prove the uniform weak consistency of this estimator for the class of continuous densities.
引用
收藏
页码:89 / 98
页数:10
相关论文
共 8 条
[1]   Beta kernel estimators for density functions [J].
Chen, SX .
COMPUTATIONAL STATISTICS & DATA ANALYSIS, 1999, 31 (02) :131-145
[2]  
Chen SX, 2000, STAT SINICA, V10, P73
[3]   DISTRIBUTION-FREE LOWER BOUNDS IN DENSITY-ESTIMATION [J].
DEVROYE, L ;
PENROD, CS .
ANNALS OF STATISTICS, 1984, 12 (04) :1250-1262
[4]  
DVORETZKY A, 1956, ANN MATH STAT, V27, P444
[5]  
Gyorfi L., 1985, The L 1 View
[6]  
Johnson N.L., 1994, Continuous Univariate Distributions, V2nd ed.
[7]   REMARKS ON SOME NONPARAMETRIC ESTIMATES OF A DENSITY-FUNCTION [J].
ROSENBLATT, M .
ANNALS OF MATHEMATICAL STATISTICS, 1956, 27 (03) :832-837
[8]  
TENBUSCH A, 1995, NONPARAMETRIC CURVE