Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/281
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dc.contributor.authorHENS, Niel-
dc.contributor.authorAERTS, Marc-
dc.contributor.authorMOLENBERGHS, Geert-
dc.contributor.authorTHIJS, Herbert-
dc.contributor.authorVERBEKE, Geert-
dc.date.accessioned2004-08-31T12:00:33Z-
dc.date.available2004-08-31T12:00:33Z-
dc.date.issued2002-
dc.identifier.citationStasinopoulos, Mikos & Touloumi, Giota (Ed.) Statistical Modelling. Proceedings of the 17th International Workshop on Statistical Modelling. Statistical Modelling in Society. p. 337-342.-
dc.identifier.urihttp://hdl.handle.net/1942/281-
dc.description.abstractTo asses the sensitivity for non-random dropout in a selection model framework, several methods were developed. None of them are without limitations. In this paper, a new method called kernel weighted influence is proposed. It uses several features of global and local influence approaches. Together with the use of nonparametric techniques, it provides a challenging new technique with a variety of options.-
dc.language.isoen-
dc.subjectNon and semiparametric methods-
dc.subjectMissing data-
dc.subjectComputer intensive-
dc.subject.otherlocal influence; global influence; kernel Weights; missing data; sensitivity analysis-
dc.titleKernel weighted influence-
dc.typeProceedings Paper-
local.bibliographicCitation.authorsStasinopoulos, Mikis-
local.bibliographicCitation.authorsTouloumi, Giota-
local.bibliographicCitation.conferencedate08-12/07/2002-
local.bibliographicCitation.conferencename17th International Workshop on Statistical Modelling-
local.bibliographicCitation.conferenceplaceChania - Crete, Greece-
dc.identifier.epage342-
dc.identifier.spage337-
local.bibliographicCitation.jcatC2-
local.type.refereedRefereed-
local.type.specifiedProceedings Paper-
dc.bibliographicCitation.oldjcatC2-
local.bibliographicCitation.btitleStatistical Modelling. Proceedings of the 17th International Workshop on Statistical Modelling. Statistical Modelling in Society-
item.fulltextWith Fulltext-
item.contributorHENS, Niel-
item.contributorAERTS, Marc-
item.contributorMOLENBERGHS, Geert-
item.contributorTHIJS, Herbert-
item.contributorVERBEKE, Geert-
item.accessRightsClosed Access-
item.fullcitationHENS, Niel; AERTS, Marc; MOLENBERGHS, Geert; THIJS, Herbert & VERBEKE, Geert (2002) Kernel weighted influence. In: Stasinopoulos, Mikos & Touloumi, Giota (Ed.) Statistical Modelling. Proceedings of the 17th International Workshop on Statistical Modelling. Statistical Modelling in Society. p. 337-342..-
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