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Titlebook: Seasonal Adjustment Without Revisions; A Real-Time Approach Barend Abeln,Jan P. A. M. Jacobs Book 2023 The Author(s), under exclusive licen

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,COVID-19 and Seasonal Adjustment,isis as an outlier as suggested by Eurostat in the application of three seasonal adjustment procedures: X-13ARIMA-SEATS, the industry standard, STL (Seasonal-Trend decomposition based on Loess), and a new method CAMPLET, an acronym of its tuning parameters. In addition, we investigate whether revisi
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,Seasonal Adjustment of Daily Data with CAMPLET,even higher). All series may suffer from seasonality, which hides other important fluctuations. Therefore, time series are typically seasonally adjusted. However, standard seasonal adjustment methods cannot handle series with higher than monthly frequencies. Recently, Abeln et al. (2019) presented C
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Conclusion,re to extract the seasonal and the non-seasonal component from an observed series. Once this process is carried out, there is no need to revise these components at a later stage when new observations become available. We have shown among other things that differences between X-13ARIMASEATS, the indu
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,Seasonal Adjustment of Daily Data with CAMPLET,AMPLET, a new seasonal adjustment method, which does not produce revisions when new observations become available. The aim of this chapter is to show the attractiveness of CAMPLET for seasonal adjustment of daily time series. We apply CAMPLET to daily data on the gas system in the Netherlands.
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Barend Abeln,Jan P. A. M. Jacobsheit untersucht worden. Aufbauend auf den Ergebnissen dieser Untersuchungen erscheint es sinnvoll, für die in dieser Arbeit betrachtete, um die operative Feinabstimmung erweiterte Problemstellung neue Verfahren zu entwickeln, die möglicherweise zu besseren Ergebnissen hinsichtlich der in Kapitel 3 d
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Barend Abeln,Jan P. A. M. Jacobsheit untersucht worden. Aufbauend auf den Ergebnissen dieser Untersuchungen erscheint es sinnvoll, für die in dieser Arbeit betrachtete, um die operative Feinabstimmung erweiterte Problemstellung neue Verfahren zu entwickeln, die möglicherweise zu besseren Ergebnissen hinsichtlich der in Kapitel 3 d
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