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The Time-Series Multiplicative Model Is Used for Forecasting, Where Tt,Ct,StT _ { t } , C _ { t } , S _ { t }

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The time-series multiplicative model is used for forecasting, where Tt,Ct,StT _ { t } , C _ { t } , S _ { t } and RtR _ { t } are respectively the trend, cyclical, seasonal and random variation components of the time series, and yty _ { t } is the value of the time series at time t. The following estimates are obtained: T1^\hat { T _ { 1 } } = 125, C~t\tilde { C } _ { t } = 1.03, S^t\hat { S } _ { t } = 1.02, R^t\hat { R } _ { t } = 0.97. The model will produce a forecast of:


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