| Full text | |
| Author(s): |
Total Authors: 3
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| Affiliation: | [1] Univ Estadual Campinas, IMECC, BR-13087970 Campinas, SP - Brazil
Total Affiliations: 1
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| Document type: | Journal article |
| Source: | ENVIRONMETRICS; v. 20, n. 2, p. 111-130, MAR 2009. |
| Web of Science Citations: | 3 |
| 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. (AU) | |