Jones, M. C.
|DOI (Digital Object Identifier) Link:||http://doi.org/10.1111/j.1467-842X.1993.tb01315.x|
|Google Scholar:||Look up in Google Scholar|
The 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.
|Item Type:||Journal Article|
|Copyright Holders:||1993 Australian Statistical Publishing Association|
|Keywords:||bias reduction; kernel regression; local variability|
|Academic Unit/Department:||Faculty of Science, Technology, Engineering and Mathematics (STEM) > Mathematics and Statistics
Faculty of Science, Technology, Engineering and Mathematics (STEM)
|Depositing User:||Sarah Frain|
|Date Deposited:||18 Apr 2011 10:13|
|Last Modified:||02 Aug 2016 14:00|
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