Making a non-parametric density estimator more attractive, and more accurate, by data perturbation
Author:
Affiliation:
1. Mashhad University of Medical Sciences; Iran
2. University of Melbourne; Australia
Publisher
Wiley
Subject
Statistics, Probability and Uncertainty,Statistics and Probability
Link
http://onlinelibrary.wiley.com/wol1/doi/10.1111/rssb.12120/fullpdf
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3. Testing and estimating shapeconstrained nonparametric density and regression in the presence of measurement error;Carroll;J. Am. Statist. Assoc.,2011
4. A note on kernel density estimation at a parametric rate;Chacon;J. Nonparam. Statist.,2007
5. Empirical likelihood-based kernel density estimation;Chen;Aust. J. Statist.,1997
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