Jones, M. C.
|DOI (Digital Object Identifier) Link:||http://doi.org/10.1111/j.1467-842X.1993.tb01339.x|
|Google Scholar:||Look up in Google Scholar|
The performance of kernel density estimation, in terms of mean integrated squared error, is investigated in the opposite of the usual situation, namely when the bandwidth is large. This affords noteworthy insights including the special role taken by the normal density function as kernel and a tie-in with ‘semiparametric’ approaches to density estimation.
|Item Type:||Journal Article|
|Copyright Holders:||1993 Australian Statistical Publishing Association|
|Keywords:||mean integrated squared error;normal density;oversmoothing;semi-parametric density estimation|
|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 10:06|
|Last Modified:||04 Oct 2016 11:01|
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