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![Solved Q2.ARIMA [8pts] Consider the following SAC (ACF) and | Chegg.com](https://media.cheggcdn.com/study/072/072f91d1-001e-4fba-8687-2ab48aaed69b/image "Solved Q2.ARIMA [8pts] Consider the following SAC (ACF) and | Chegg.com")
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Figure 7. (a) RMSE auto.ARIMA vs STClu-Arima for Eastern-Wind data set for 30 cluster. (b) RMSE auto.ARIMA vs STClu-Arima for SAC data set for 90 clusters : Application of Spatio-Temporal Clustering in
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How should these data be modelled?. Identification step: Look at the SAC and SPAC Looks like an AR(1)- process. (Spikes are clearly decreasing in SAC. - ppt download
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Stat 5100 Handout #35 – Notes: ARIMA Models (Unit 8) Key here: after stationary, identify dependence structure (and use for fo
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