Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/62060
Type: Artigo de periódico
Title: Non-parametric estimation for aggregated functional data for electric load monitoring
Author: Dias, R
Garcia, NL
Martarelli, A
Abstract: In this work we address the problem of estimating mean and covariance Curves when the available sample consists of aggregated functional data. Consider a population divided into sub-populations for which one wants to estimate the mean (typology) and covariance curves for each sub-population. However, it is not possible (or too expensive) to obtain sample Curves for single individuals. The available data are collective curves, sum of curves of different subsets of individuals belonging to the sub-populations. We propose an estimation method based on B-splines expansion. This method is consistent and simulation studies Suggest that the proposed mean estimator is suitable even with very few replications. This problem was motivated by a real problem concerning the efficient distribution of electric energy in Southeast Brazil. Copyright (C) 2008 John Wiley & Sons, Ltd.
Subject: functional data
B-splines
aggregated data
electric load monitoring
Country: Inglaterra
Editor: John Wiley & Sons Ltd
Rights: fechado
Identifier DOI: 10.1002/env.914
Date Issue: 2009
Appears in Collections:Unicamp - Artigos e Outros Documentos

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