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Robust and Nonlinear Time Series Analysis formatIsbn:Softcover 9780387961026 Its intended audience is Ph 9783642424038 Its intended audience is Ph This is intended to be the simplest form into which all systems close to the original s tem can be transformed Classical time series methods are based on the assumption that a particular stochastic process model generates the observed data While the literature abounds with a variety of optimal estimation results based on either the Gaussian assumption or the specification of second order properties
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Robust and Nonlinear Time Series Analysis formatIsbn:Softcover - 9780387961026 Its intended audience is Ph 9783642424038

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