Statistics for spatial functional data: some recent contributions
Impacto
Scholar |
Otros documentos de la autoría: Delicado, Pedro; Giraldo, Ramón; Comas Rodríguez, Carlos; Mateu, Jorge
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http://dx.doi.org/10.1002/env.1003 |
Metadatos
Título
Statistics for spatial functional data: some recent contributionsFecha de publicación
2010Editor
John Wiley & Sons, Ltd.ISSN
1180-4009Cita bibliográfica
Environmetrics Special Issue: Spatio-Temporal Stochastic Modelling: Environmental and Health Processes (2010) 21, 3-4, p. 224-239Tipo de documento
info:eu-repo/semantics/articleVersión de la editorial
http://onlinelibrary.wiley.com/doi/10.1002/env.1003/abstractVersión
info:eu-repo/semantics/publishedVersionPalabras clave / Materias
Resumen
Functional data analysis (FDA) is a relatively new branch in statistics. Experiments where a complete function is observed for each individual give rise to functional data. In this work we focus on the case of functional ... [+]
Functional data analysis (FDA) is a relatively new branch in statistics. Experiments where a complete function is observed for each individual give rise to functional data. In this work we focus on the case of functional data presenting spatial dependence. The three classic types of spatial data structures (geostatistical data, point patterns, and areal data) can be combined with functional data as it is shown in the examples of each situation provided here. We also review some contributions in the literature on spatial functional data. [-]
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Copyright © 2009 John Wiley & Sons, Ltd
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