# Do you wish to plot the trendcycle component yn y the

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Do you wish to plot the Trend/Cycle component Y/N? Y <<The trend-cycle component derived by adding to the interpolated polynomial the low-frequency components of the residual sequence>> <RETURN> {++++++++++++++++++++++++++++++++++++++++++++} TRACK A: estimate the trend-cycle component by method A. (This method reduces the data to stationarity via the difference operator. Then the differenced data is subjected to a lowpass frequency-domain filter. Finally, the filtered sequence is re-inflated via the summation operator, given the appropriate initial conditions.) IDEOLOG.PAS: Ideal Filters and their Approximations 9. Frequency-Domain Filters 9 SPECIFY AND APPLY THE FREQUENCY-DOMAIN FILTER; 1. Lowpass Filter 1 SPECIFY THE FREQUENCY-DOMAIN LOWPASS FILTER A. The frequency filter may be applied to the differenced data and, thereafter, the filtered sequence can be reinflated via a summation operation. A Specify the cut-off point in degrees 22.5 EXTRACT LOWPASS TREND COMPONENT Before estimating the trend, you may require to reduce the data to stationarity by at most two differencing operations.

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Specify the number of differencing operations 2 ENSURE INTEGRAL CYCLES Do you wish ensure that the differenced data comprise an integral number of seasonal cycles Y/N? Y <<A low-frequency trend/cycle component extracted from 158 points of an unnamed data sequence by a Fourier Method>> <RETURN> <<The residual sequence from detrending158 points of an unnamed data sequence via the Fourier Method>>>> <RETURN> {++++++++++++++++++++++++++++++++++++++++++++}
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