Εμφάνιση απλής εγγραφής

dc.contributor.authorPolitis, Dimitris Nicolasen
dc.contributor.authorRomano, J. P.en
dc.creatorPolitis, Dimitris Nicolasen
dc.creatorRomano, J. P.en
dc.date.accessioned2019-12-02T10:37:54Z
dc.date.available2019-12-02T10:37:54Z
dc.date.issued1999
dc.identifier.issn0047-259X
dc.identifier.urihttp://gnosis.library.ucy.ac.cy/handle/7/57530
dc.description.abstractThe problem of nonparametric estimation of a multivariate density function is addressed. In particular, a general class of estimators with favorable asymptotic performance (bias, variance, rate of convergence) is proposed. The proposed estimators are characterized by the flatness near the origin of the Fourier transform of the kernel and are actually shown to be exactlyN-consistent provided the density is sufficiently smooth. © 1999 Academic Press.en
dc.sourceJournal of Multivariate Analysisen
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-0042995281&doi=10.1006%2fjmva.1998.1774&partnerID=40&md5=a9e9439fd85806b03ce47b2dda0fc51f
dc.subjectSmoothingen
dc.subjectRate of convergenceen
dc.subjectNonparametric density estimationen
dc.subjectFourier transformen
dc.subjectKernelen
dc.subjectBias reductionen
dc.subjectMean squared erroren
dc.titleMultivariate Density Estimation with General Flat-Top Kernels of Infinite Orderen
dc.typeinfo:eu-repo/semantics/article
dc.identifier.doi10.1006/jmva.1998.1774
dc.description.volume68
dc.description.issue1
dc.description.startingpage1
dc.description.endingpage25
dc.author.facultyΣχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences
dc.author.departmentΤμήμα Μαθηματικών και Στατιστικής / Department of Mathematics and Statistics
dc.type.uhtypeArticleen
dc.description.notes<p>Cited By :29</p>en
dc.source.abbreviationJ.Multivariate Anal.en


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Εμφάνιση απλής εγγραφής