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Optimal inverse Beta(3,3) transformation in kernel density estimation

Authors: Bolancé, Catalina;

Optimal inverse Beta(3,3) transformation in kernel density estimation

Abstract

A double transformation kernel density estimator that is suitable for heavy-tailed distributions is presented. Using a double transformation, an asymptotically optimal bandwidth parameter can be calculated when minimizing the expression of the asymptotic mean integrated squared error of the transformed variable. Simulation results are presented showing that this approach performs better than existing alternatives. An application to insurance claim cost data is included

Peer Reviewed

Country
Spain
Keywords

Estadística matemàtica, Beta density, Right skewness., Kernel density estimation, Transformations, Functional analysis, Right skewness, :62 Statistics::62G Nonparametric inference [Classificació AMS], Mathematical statistics, Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica, :Matemàtiques i estadística::Estadística matemàtica [Àrees temàtiques de la UPC], Anàlisi funcional, Econometrics, Classificació AMS::62 Statistics::62G Nonparametric inference, Econometria

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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