A note on the universal consistency of the kernel distribution function estimator-Reference-Cited by-同舟云学术

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A note on the universal consistency of the kernel distribution function estimator

Published:2010-09 Issue:17-18 Volume:80 Page:1414-1419
ISSN:0167-7152
Container-title:Statistics & Probability Letters
language:en
Short-container-title:Statistics & Probability Letters

Author:

Chacón José E.,Rodríguez-Casal Alberto

Publisher

Elsevier BV

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Reference23 articles.

1. Probability and Measure;Billingsley,1986

2. The equivalence of weak, strong and complete convergence in l1 for kernel density estimates;Devroye;Ann. Statist.,1983

3. The double kernel method in density estimation;Devroye;Ann. Henri Poincaré,1989

4. Nonparametric Density Estimation: The L1 View;Devroye,1985

5. Combinatorial Methods in Density Estimation;Devroye,2001

Cited by 14 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Review of Nonparametric Research on Cumulative Distribution Function Estimation;Journal of the Indian Society for Probability and Statistics;2024-07-23

2. L² consistency of the kernel quantile estimator;Communications in Statistics - Theory and Methods;2022-01-13

3. Nonparametric estimation of unrestricted distributions and their jumps;Canadian Journal of Statistics;2021-07-16

4. L1 Properties of the Nadaraya Quantile Estimator;Sankhya A;2020-10-22

5. A new class of boundary kernels for distribution function estimation;Communications in Statistics - Theory and Methods;2017-11-27

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