Nonparametric regression with errors-in-all-variables

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DC Field	Value	Language
dc.contributor.author	Ioannides, D.A.	en
dc.contributor.author	Alevizos, P.D.	en
dc.date.accessioned	2007-03-12T15:50:25Z	-
dc.date.available	2007-03-12T15:50:25Z	-
dc.date.issued	2006	-
dc.identifier.uri	http://dspace.lib.uom.gr/handle/2159/1517	-
dc.description.abstract	In this paper we estimate the nonparametric mean regression function when all the variables of the model are measured with errors. As an application of it we discuss the general nonparametric approach for Stochastic Production Frontier Models.	en
dc.description.statementofresponsibility	D.A. Ioannides; P.D. Alevizos	en
dc.format.extent	865827 bytes	-
dc.format.extent	12 σ.	el
dc.format.mimetype	application/pdf	-
dc.language.iso	en	en
dc.publisher	Πανεπιστήμιο Μακεδονίας Οικονομικών και Κοινωνικών Επιστημών	el
dc.relation.uri	http://dspace.lib.uom.gr/handle/2159/431	-
dc.subject	Deconvolution	en
dc.subject	Nonparametric estimation	en
dc.subject	Frontier model	en
dc.subject	Noisy observations	en
dc.subject	Regression function	en
dc.subject	Uniform convergence	en
dc.subject.other	62G05;60F05	-
dc.title	Nonparametric regression with errors-in-all-variables	en
dc.type	Article	en
dc.type	Text	en
Appears in Collections:	Τιμητικός τόμος εις μνήμην Αναπληρωτή Καθηγητή Απόστολου Κομπότη (1952-2003)

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