Geostatistics for functional data: an ordinary kriging approach

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To access the full text documents, please follow this link: http://hdl.handle.net/2117/1099

dc.contributor	Universitat Politècnica de Catalunya. Departament d'Estadística i Investigació Operativa
dc.contributor	Universitat Politècnica de Catalunya. GREMA - Grup de Recerca en Estadística Matemàtica i les seves Aplicacions
dc.contributor.author	Giraldo, Ramón
dc.contributor.author	Delicado Useros, Pedro Francisco
dc.contributor.author	Mateu, Jorge
dc.date	2007-06-11
dc.identifier.uri	http://hdl.handle.net/2117/1099
dc.language.iso	eng
dc.relation	J-01152 (MTM2006-09920)
dc.relation	EU PASCAL Network of Excellence IST-2002-506778
dc.relation	MTM2004-06231
dc.rights	Attribution-NonCommercial-NoDerivs 2.5 Spain
dc.rights	info:eu-repo/semantics/openAccess
dc.rights	http://creativecommons.org/licenses/by-nc-nd/2.5/es/
dc.subject	Kriging
dc.subject	Multivariate analysis
dc.subject	Geology Statistical methods
dc.subject	Geophysics
dc.subject	Functional data
dc.subject	Ordinary kriging
dc.subject	Soil penetration resistance
dc.subject	Trace-semivariogram
dc.subject	Anàlisi multivariable
dc.subject	Geofísica
dc.subject	Classificació AMS::62 Statistics::62H Multivariate analysis
dc.subject	Classificació AMS::86 Geophysics
dc.title	Geostatistics for functional data: an ordinary kriging approach
dc.type	info:eu-repo/semantics/article
dc.description.abstract	We present a methodology to perform spatial prediction when measured data are curves. In particular, we propose both an estimator of the spatial correlation and a functional kriging predictor. We adapt an optimization criterium used in multi- variable spatial prediction in order to estimate the kriging parameters. A real data example on soil penetration resistences illustrates our proposals.

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