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Statistical Methods for Fuzzy Data by Reinhard Viertl

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26

Stochastic methods in fuzzy time series analysis

In Chapter fuzzy time series are analyzed without assumptions on a stochastic model. The only stochastic element was the error component t* for moving averages.

In the present chapter the fuzzy observations are considered as realizations of a stochastic process whose elements are fuzzy stochastic quantities. The goal is to use dependencies of the observations for predictions of future values.

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