Additive Model of Time Series .

1.	Additive Model of Time Series .
Answer» Additive Model of Time Series : = T_t + S_t + C_t + R_t Where, y_t = Total variation of time series T_t= Trend, S_t = Seasonal component, C_t = Cyclical component, R_t= Random component Trend ; T_t= y_t– (S_t + C_t+ R_t) Seasonal component: S_t = y_t – (T_t + C_t + R_t) Cyclical component :C_t = y_t– (T_t + S_t + R_t) Random component: R_t = y_t – (T_t + S_t + R_t)

Answer»

Additive Model of Time Series :

= T_t + S_t + C_t + R_t
Where, y_t = Total variation of time series
T_t= Trend, S_t = Seasonal component,
C_t = Cyclical component,
R_t= Random component

Trend ; T_t= y_t– (S_t + C_t+ R_t)
Seasonal component: S_t = y_t – (T_t + C_t + R_t)
Cyclical component :C_t = y_t– (T_t + S_t + R_t)
Random component: R_t = y_t – (T_t + S_t + R_t)

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Additive Model of Time Series .

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