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how is the long-term trend determined for a time series decomposition model?

how is the long-term trend determined for a time series decomposition model?

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Answer #1

Classical time series decomposition consists of five components: mean, long-range trend,seasonality, cycle, and randomness.

The decomposition model is

Value = Mean X Trend X Sensibility X Cycle X Random

The model is multiplicative rather than additive.

Xt  = UTtCtStRt

Xt denotes the series

U denotes the mean

Tt denotes Trend

Ct denotes cycle

St denotes Sensibility

Rt denotes Random error

t denotes Time period

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