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Nonparametric Kernel Density Estimation Near the Boundary

Nonparametric kernel density estimation near the boundary
descriptionPublicationkeyboard_double_arrow_right Article , Other literature type , Research , Preprint , Book 01 Jan 2013 Germany English Publisher:Elsevier BVJournal:SSRN Electronic Journal (eissn: 1556-5068, Copyright policy )
Authors: Peter Malec; Melanie Schienle;

doi: 10.2139/ssrn.2342165 , 10.1016/j.csda.2013.10.023

handle: 10419/79594

Nonparametric Kernel Density Estimation Near the Boundary

Abstract

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Keywords

Applications of statistics to actuarial sciences and financial mathematics, 330, Economics, Schätztheorie, asymmetric kernel, C51, C14, boundary correction, Kernel density estimation; boundary correction; asymmetric kernel, Nichtparametrisches Verfahren, Kernel density estimation, info:eu-repo/classification/ddc/330, ddc:330, 330 Wirtschaft, ddc:310, 310 Sammlungen allgemeiner Statistiken, Börsenkurs, Handelsvolumen der Börse, Volatilität, Density estimation, kernel density estimation, Computational methods for problems pertaining to statistics, Theorie, Schätzung, jel: jel:C51, jel: jel:C14

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selected citations
These citations are derived from selected sources.
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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