On the accuracy of binned kernel density estimators

被引:80
|
作者
Hall, P [1 ]
Wand, MP [1 ]
机构
[1] UNIV NEW S WALES, SYDNEY, NSW, AUSTRALIA
关键词
pinning rules; Euler-Maclaurin summation formulae;
D O I
10.1006/jmva.1996.0009
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 accuracy of the binned kernel density estimator is studied for general binning rules. We derive mean squared error results for the closeness of this estimator to both the true density and the unbinned kernel estimator. The binning rule and smoothness of the kernel function are shown to influence the accuracy of the binned kernel estimators. Our results are used to compare commonly used binning rules, and to determine the minimum grid size required to obtain a given level of accuracy. (C) 1996 Academic Press,Inc.
引用
收藏
页码:165 / 184
页数:20
相关论文
共 50 条
  • [1] The accuracy and the computational complexity of a multivariate binned kernel density estimator
    Holmström, L
    [J]. JOURNAL OF MULTIVARIATE ANALYSIS, 2000, 72 (02) : 264 - 309
  • [2] Accuracy of binned kernel functional approximations
    GonzalezManteiga, W
    SanchezSellero, C
    Wand, MP
    [J]. COMPUTATIONAL STATISTICS & DATA ANALYSIS, 1996, 22 (01) : 1 - 16
  • [3] Asymptotic behaviour of binned kernel density estimators for locally non-stationary random fields
    Harel, Michel
    Lenain, Jean-Francois
    Ngatchou-Wandji, Joseph
    [J]. JOURNAL OF NONPARAMETRIC STATISTICS, 2016, 28 (02) : 296 - 321
  • [4] KERNEL DENSITY-ESTIMATION WITH BINNED DATA
    SCOTT, DW
    SHEATHER, SJ
    [J]. COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, 1985, 14 (06) : 1353 - 1359
  • [5] An evaluation of the accuracy of kernel density estimators for home range analysis
    Seaman, DE
    Powell, RA
    [J]. ECOLOGY, 1996, 77 (07) : 2075 - 2085
  • [6] On kernel estimators of density ratio
    Chen, Sy-Mien
    Hsu, Yu-Sheng
    Liaw, Jian-Tong
    [J]. STATISTICS, 2009, 43 (05) : 463 - 479
  • [7] Averaging of density kernel estimators
    Chernova, O.
    Lavancier, F.
    Rochet, P.
    [J]. STATISTICS & PROBABILITY LETTERS, 2020, 158
  • [8] Comparison of Kernel Density Estimators
    Rodchuen, Manachai
    Suwattee, Prachoom
    [J]. THAILAND STATISTICIAN, 2010, 8 (02): : 167 - 181
  • [9] The error and the computational complexity of a multivariate binned kernel density estimator
    Holmström, L
    [J]. MINING AND MODELING MASSIVE DATA SETS IN SCIENCE, ENGINEERING, AND BUSINESS WITH A SUBTHEME IN ENVIRONMENTAL STATISTICS, 1997, 29 (01): : 519 - 528
  • [10] Nonlinear kernel density estimation for binned data: convergence in entropy
    Blower, G
    Kelsall, JE
    [J]. BERNOULLI, 2002, 8 (04) : 423 - 449