Jones, M. C.; Marron, J. S. and Sheather, S. J.
(1996).
| URL: | http://www.jstor.org/stable/2291420 |
|---|---|
| Google Scholar: | Look up in Google Scholar |
Abstract
There has been major progress in recent years in data-based bandwidth selection for kernel density estimation. Some "second generation" methods, including plug-in and smoothed bootstrap techniques, have been developed that are far superior to well-known "first generation" methods, such as rules of thumb, least squares cross-validation, and biased cross-validation. We recommend a "solve-the-equation" plug-in bandwidth selector as being most reliable in terms of overall performance. This article is intended to provide easy accessibility to the main ideas for nonexperts.
| Item Type: | Journal Item |
|---|---|
| Copyright Holders: | 1996 American Statistical Association |
| ISSN: | 1537-274X |
| Keywords: | bandwidth selection; Kernel density estimation; nonparametric curve estimation; smoothing parameter selection |
| Academic Unit/School: | Faculty of Science, Technology, Engineering and Mathematics (STEM) > Mathematics and Statistics Faculty of Science, Technology, Engineering and Mathematics (STEM) |
| Item ID: | 24972 |
| Depositing User: | Sarah Frain |
| Date Deposited: | 05 May 2011 09:31 |
| Last Modified: | 02 May 2018 13:20 |
| URI: | http://oro.open.ac.uk/id/eprint/24972 |
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