Jones, M. C.
|DOI (Digital Object Identifier) Link:||http://doi.org/10.1007/BF00053400|
|Google Scholar:||Look up in Google Scholar|
To estimate the quantile density function (the derivative of the quantile function) by kernel means, there are two alternative approaches. One is the derivative of the kernel quantile estimator, the other is essentially the reciprocal of the kernel density estimator. We give ways in which the former method has certain advantages over the latter. Various closely related smoothing issues are also discussed.
|Item Type:||Journal Article|
|Copyright Holders:||1992 The Institute of Statistical Mathematics|
|Keywords:||kernel smoothing; reciprocal density; sparsity function|
|Academic Unit/Department:||Mathematics, Computing and Technology > Mathematics and Statistics
Mathematics, Computing and Technology
|Depositing User:||Sarah Frain|
|Date Deposited:||23 Mar 2011 15:50|
|Last Modified:||18 Jan 2016 10:06|
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