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Jones, M. C.; Marron, J. S. and Sheather, S. J.
(1996).
URL: http://www.jstor.org/stable/2291420
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.
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About
- Item ORO ID
- 24972
- Item Type
- Journal Item
- ISSN
- 1537-274X
- Keywords
- bandwidth selection; Kernel density estimation; nonparametric curve estimation; smoothing parameter selection
- Academic Unit or School
-
Faculty of Science, Technology, Engineering and Mathematics (STEM) > Mathematics and Statistics
Faculty of Science, Technology, Engineering and Mathematics (STEM) - Copyright Holders
- © 1996 American Statistical Association
- Depositing User
- Sarah Frain