Jones, M. C.; McKay, I. J. and Hu, T. C.
|Google Scholar:||Look up in Google Scholar|
Variable (bandwidth) kernel density estimation (Abramson (1982,Ann. Statist.,10, 1217–1223)) and a kernel estimator with varying locations (Samiuddin and El-Sayyad (1990,Biometrika,77, 865–874)) are complementary ideas which essentially both afford bias of orderh4 as the overall smoothing parameterh -> 0, sufficient differentiability of the density permitting. These ideas are put in a more general framework in this paper. This enables us to describe a variety of ways in which scale and location variation may be extended and/or combined to good theoretical effect. This particularly includes extending the basic ideas to provide new kernel estimators with bias of orderh6. Technical difficulties associated with potentially overly large variations are fully accounted for in our theory.
|Item Type:||Journal Article|
|Copyright Holders:||1994 Springer|
|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:||19 Apr 2011 08:50|
|Last Modified:||04 Oct 2016 11:01|
|Share this page:|