Optimisation of the autocorrelation function, showing the auto-regressive (AR, φn) and moving-average (MA, θn) correlation parameters for models of increasing order.
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The AIC for each model was used to select the model which best described the error structure (shown in bold). As increasing complexity failed to produce models with a lower AIC, models with more than 2 auto-regressive and 1 moving average parameters were not run [39], [44].
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2015-12-02
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