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Model diagnostic checks will utilise residual plots.
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The development of proposed scheme for traffic flow prediction using SARIMA involved four steps of model identification, model estimation, diagnostic checking and forecasting/validation of the developed model.
The first is model identification, the second is model estimation and finally, the diagnostic checks on model adequacy.
Other model diagnostics included checking the martingale residuals to detect non-linearity.
Standard diagnostic checks of model adequacy were performed on all final models.
Standard diagnostic checks of model adequacy and unusual observations were performed for all models.
Standard diagnostic checks of model adequacy and unusual observations were performed and revealed that some of the models were heteroscedastic.
Details on Bayesian estimation, model optimization and selection, and diagnostic checks are available in Additional file 1.
Standard diagnostic checks of model adequacy and unusual observations were performed.
The fitness of the model was verified through different diagnostic checks.
Standard diagnostic checks of model fit and residuals were routinely made, and data points with large residuals and/or high influence were investigated for data errors.
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