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It is divided into four substantive parts, as follows: Part 1, Stochastic Models and their Forecasting, is an introduction to linear stationary models with finite numbers of parameters, in particular ARMA (mixed autoregressive-moving average) processes, their probabilistic and forecasting...
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threshold models. It is demonstrated how simulated decision maps help in classifying observed time series. The maps process the …
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