A generalization of histogram type estimators
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- dc.contributor.author Delicado, Pedroca
- dc.contributor.author del Río, Manuelca
- dc.contributor.other Universitat Pompeu Fabra. Departament d'Economia i Empresa
- dc.date.accessioned 2017-07-26T10:50:14Z
- dc.date.available 2017-07-26T10:50:14Z
- dc.date.issued 1999-10-01
- dc.date.modified 2017-07-23T02:04:56Z
- dc.description.abstract We introduce simple nonparametric density estimators that generalize the classical histogram and frequency polygon. The new estimators are expressed as linear combination of density functions that are piecewise polynomials, where the coefficients are optimally chosen in order to minimize the integrated square error of the estimator. We establish the asymptotic behaviour of the proposed estimators, and study their performance in a simulation study.
- dc.format.mimetype application/pdfca
- dc.identifier https://econ-papers.upf.edu/ca/paper.php?id=422
- dc.identifier.citation Journal of Nonparametric Statistics, 15 (1), 113-135, 2003
- dc.identifier.uri http://hdl.handle.net/10230/1247
- dc.language.iso eng
- dc.relation.ispartofseries Economics and Business Working Papers Series; 422
- dc.rights L'accés als continguts d'aquest document queda condicionat a l'acceptació de les condicions d'ús establertes per la següent llicència Creative Commons
- dc.rights.accessRights info:eu-repo/semantics/openAccess
- dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/es/
- dc.subject.keyword convolution
- dc.subject.keyword frequency polygon
- dc.subject.keyword nonparametric density estimation
- dc.subject.keyword smoothing techniques
- dc.subject.keyword splines
- dc.subject.keyword Statistics, Econometrics and Quantitative Methods
- dc.title A generalization of histogram type estimatorsca
- dc.type info:eu-repo/semantics/workingPaper