A LAW OF THE LOGARITHM FOR KERNEL QUANTILE DENSITY ESTIMATORS
成果类型:
Article
署名作者:
XIANG, XJ
署名单位:
University of Chicago
刊物名称:
ANNALS OF PROBABILITY
ISSN/ISSBN:
0091-1798
DOI:
10.1214/aop/1176988741
发表日期:
1994
页码:
1078-1091
关键词:
product-limit estimator
摘要:
In this article we derive a law of the logarithm for the maximal deviation between two kernel-type quantile density estimators and the true underlying quantile density function in the randomly right-censored case. Extensions to higher derivatives are included. The results are applied to get optimal bandwidths with respect to almost sure uniform convergence.
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