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DO NOT WEIGHT FOR HETEROSCEDASTICITY IN NONPARAMETRIC REGRESSION

 

作者: M.C. Jones,  

 

期刊: Australian Journal of Statistics  （WILEY Available online 1993）
卷期: Volume 35, issue 1  

页码: 89-92

 

ISSN:0004-9581

 

年代: 1993

 

DOI:10.1111/j.1467-842X.1993.tb01315.x

 

出版商: Blackwell Publishing Ltd

 

关键词: Bias reduction;kernel regression;local variability

 

数据来源: WILEY

 

摘要:

SummaryThe potential role of weighting in kernel regression is examined. The concept that weighting has something to do with heteroscedastic errors is shown to be false. However, weighting does affect bias, and ways in which this might be exploited are indicated.

 

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