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

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Vector Parametric Models and Methods,a multivariate nonlinear time series model should possess some specified properties in order to permit estimation of the unknown model parameters and allow statistical inference. Moreover, because one of the main uses of time series analysis is forecasting, it is reasonable to restrict consideration

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Die Evolution des Innovationsmanagementsdicine, queuing theory, system engineering, and financial economics. Time-irreversibility automatically excludes Gaussian linear processes, or static nonlinear transformations of such processes, as possible DGPs.

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Zielvielfalt in der Entwicklungsentscheidungand instead base statistical inference mainly on data. Moreover, they require “weak” (qualitative) assumptions, such as smoothness of the functional form, rather than quantitative assumptions on the global form of the model.