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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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