Multiplicative Time-Series Model 相乘时间序列模型 .Used Primarily for Forecasting Observed Value in Time Series is the product of Components For annual data Ti=Trend Y1=T×C;×l Ci Cyclical For Quarterly or monthly Data i =Irregular Y1=71×S;×C1×l i S:= SeasonalMultiplicative Time-Series Model 相乘时间序列模型 •Used Primarily for Forecasting •Observed Value in Time Series is the product of Components •For Annual Data: •For Quarterly or Monthly Data: i i i i Y = T  C  I i i i i i Y = T  S  C  I Ti = Trend Ci = Cyclical I i = Irregular Si = Seasonal