If an ARIMA model has been fitted to a time series, the model spectrum can be partitioned into trend, seasonal and irregular components. The corresponding linear filters are used for signal extraction to provide a theoretically based method of seasonal adjustment. The flexibility, stability and residual seasonality obtained by this method and two others are compared empirically.
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Journal of the Royal Statistical Society. Series A (General)
© 1980 Royal Statistical Society
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