Jones, M. C. and Sheather, S. J.
|DOI (Digital Object Identifier) Link:||http://dx.doi.org/10.1016/0167-7152(91)90116-9|
|Google Scholar:||Look up in Google Scholar|
Improved kernel-based estimates of integrated squared density derivatives are obtained by reinstating non-stochastic terms that have previously been omitted, and using the bandwidth to (approximately) cancel these positive quantities with the leading smoothing bias terms which are negative. Such estimators have exhibited great practical merit in the context of data-based selection of the bandwidth in kernel density estimation, a motivating application of this work discussed elsewhere.
|Item Type:||Journal Article|
|Copyright Holders:||1991 Elsevier Science B.V.|
|Keywords:||bandwidth selection; bias reduction; functional estimation; kernel density estimation; rates of convergence; smoothing|
|Academic Unit/Department:||Mathematics, Computing and Technology > Mathematics and Statistics
Mathematics, Computing and Technology
|Depositing User:||Sarah Frain|
|Date Deposited:||17 Mar 2011 13:42|
|Last Modified:||18 Jan 2016 10:06|
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