Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/62060
Type: Artigo
Title: Non-parametric estimation for aggregated functional data for electric load monitoring
Author: Dias, Ronaldo
Garcia, Nancy L.
Martarelli, Angelo
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.
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 covar
Subject: Estatística não paramétrica
Modelos lineares (Estatística)
Análise multivariada
Spline, Teoria do
Energia elétrica - Consumo
Country: Reino Unido
Editor: John Wiley & Sons
Citation: Environmetrics. John Wiley & Sons Ltd, v. 20, n. 2, n. 111, n. 130, 2009.
Rights: Fechado
Identifier DOI: 10.1002/env.914
Address: https://onlinelibrary.wiley.com/doi/abs/10.1002/env.914
Date Issue: 2009
Appears in Collections:IMECC - Artigos e Outros Documentos

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