Titlebook: Elements of Nonlinear Time Series Analysis and Forecasting; Jan G. De Gooijer Book 2017 Springer International Publishing Switzerland 2017

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Forecasting,ata up to a certain time t. In contrast, the situation becomes more complicated when real out-of-sample forecast are computed from parametric nonlinear time series models; in particular, as we explain below, this is a difficult issue for H ≥ 2 steps ahead.

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Elements of Nonlinear Time Series Analysis and Forecasting978-3-319-43252-6Series ISSN 0172-7397 Series E-ISSN 2197-568X

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Gesunde Unternehmen in der Zugspitz-Region,lear as possible, we introduce in this chapter a number of classic parametric univariate nonlinear models. By “classic” we mean that during the relatively brief history of nonlinear time series analysis, these models have proved to be useful in handling many nonlinear phenomena in terms of both trac