Statistics>> Models for time series analysis
(i) Additive Model
This model assumes that all the component of the time series are independent of one another and each part Can be measured independently, Here
Y = T + S + C + I
Where Y is the time series value and T, C, S and rare Trend, Seasonal, Cyclical and Irregular variations.
(ii) Multiplicative Model
This model assumes that the four components of the time series are due to different causes but they are not necessarily independent. The traditional time series analysis model is characterised by the multiplicative relationship.
Y = T × S × C × I
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