Berry-esseen type theorems for sequential density estimation
作者:
A.K. Basu,
D.K. Sahoo,
期刊:
Sequential Analysis
(Taylor Available online 1989)
卷期:
Volume 8,
issue 2
页码: 119-134
ISSN:0747-4946
年代: 1989
DOI:10.1080/07474948908836172
出版商: Marcel Dekker, Inc.
关键词: Asymptotic normality;kernel-type sequential estimators;rate of convergence;recursive estimators
数据来源: Taylor
摘要:
Given a sequence of i.i.d. random variables the convergence of kernel-type sequential estimators of their common density function is studied. This throws light on the usefulness of such estimators. The results are also extended to the case when the sample size is random.
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