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Sequential methods for bounding the error in nonparametric regression

 

作者: Adam T. Martinsek,  

 

期刊: Sequential Analysis  （Taylor Available online 1994）
卷期: Volume 13, issue 1  

页码: 63-75

 

ISSN:0747-4946

 

年代: 1994

 

DOI:10.1080/07474949408836294

 

出版商: Marcel Dekker, Inc.

 

关键词: nonparametric regression;mean integrated squared error;sequential estimation;stopping time

 

数据来源: Taylor

 

摘要:

A stopping rule is proposed for the purpose of bounding the mean integrated squared error of nonparametric regression estimates on an interval. The rale is designed to achieve sufficiently good fit in estimating the regression function, It is shown that the stopping rale is asymptotically efficient both in terms of sample size and fit, where the limit is taken as one requires increasingly better fit

 

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