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  • Title: Improving the global fitting method on nonlinear time series analysis.
    Author: Barbosa LM, Duarte LG, Linhares CA, da Mota LA.
    Journal: Phys Rev E Stat Nonlin Soft Matter Phys; 2006 Aug; 74(2 Pt 2):026702. PubMed ID: 17025562.
    Abstract:
    We are concerned with improving the forecast capabilities of the global approach to time series. We assume that the normal techniques of global mapping are applied, the noise reduction is performed, etc. Then, using the mathematical foundations behind such approaches, we propose a method that, without a great computational cost, greatly increases the accuracy of the corresponding forecasting.
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