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Robust and Nonlinear Time Series Analysis Daniel W Es gibt zahlreiche selbständige Personalentwickler

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Robust and Nonlinear Time Series Analysis Daniel W Es gibt zahlreiche selbständige PersonalentwicklerClassical time series methods are based on the assumption that a particular stochastic process model generates the observed data. The, most commonly used assumption is that the data is a realization of a stationary Gaussian process. However, since the Gaussian assumption is a fairly stringent one, this assumption is frequently replaced by the weaker assumption that the process is wide~sense stationary and that only the mean and covariance sequence is

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