Sensitivities in determining the slope parameter in functional regression

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dc.contributor.authorTandoğdu, Yücel
dc.date.accessioned2024-07-12T20:51:18Z
dc.date.available2024-07-12T20:51:18Z
dc.date.issued2009en_US
dc.departmentFakülteler, İnsan ve Toplum Bilimleri Fakültesi, Matematik Bölümüen_US
dc.description.abstractIn multivariate linear regression analysis the slope parameter is de¯ned as ¯1 = Cov(X; Y )=var(X). Based on the fact that the predictors are uncorrelated the slope function in the functional case becomes...en_US
dc.identifier.citationTandoğdu, Y. (2009). Sensitivities in determining the slope parameter in functional regression. Maltepe Üniversitesi. s. 395.en_US
dc.identifier.endpage396en_US
dc.identifier.isbn9.78605E+12
dc.identifier.startpage395en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12415/2395
dc.institutionauthorTandoğdu, Yücel
dc.language.isoenen_US
dc.publisherMaltepe Üniversitesien_US
dc.relation.ispartofInternational Conference of Mathematical Sciencesen_US
dc.relation.publicationcategoryUluslararası Konferans Öğesien_US
dc.rightsCC0 1.0 Universal*
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.rights.urihttp://creativecommons.org/publicdomain/zero/1.0/*
dc.snmzKY07760
dc.subjectSmoothingen_US
dc.subjectFunctional regressionen_US
dc.subjectSparse dataen_US
dc.subjectSlope parameteren_US
dc.titleSensitivities in determining the slope parameter in functional regressionen_US
dc.typeConference Object
dspace.entity.typePublication

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