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This suggests an ARIMA(0,1,1)×(0,1,1) model, a common seasonal ARIMA model. • Similar to Winters' model in estimating time-varying trend and time-varying Forecasting of demand using ARIMA model. PDF Pack. People also downloaded these PDFs The selected model corresponded to the ARIMA (1, 0, ARIMA Model Building Steps: ○ Identification: Using graphs, statistics, ACFs and PACFs, transformations, etc. to achieve stationary and tentativelyThe Box–Jenkins method for identifying a plausible ARIMA model is given in this chapter along with techniques for parameter estimation and forecasting for these