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Überlegungen zum Vergleich von Verfahren der Komponentenzerlegung saisonabhängiger Zeitreihen

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  • Heiler, Siegfried

Abstract

Zur Analyse saisonbehafteter Zeitreihen stehen heutzutage eine größere Anzahl von unterschiedlichen methodischen Ansätzen und auch von fertigen Software-Systemen zur Verfügung. Für die praktischen Anwendungen spielen nicht nur methodische Gesichtspunkte, sondern teilweise auch rein pragmatische Überlegungen eine Rolle. In diesem Beitrag werden die Grundtypen der vorhandenen Analysesysteme vorgestellt, Anforderungen an ihre Ergebnisse diskutiert und einige Maßzahlen zur Quantifizierung von Beurteilungskriterien vorgestellt. Als wichtiges Resultat bleibt festzuhalten, daß es ein in jeder Hinsicht "bestes" Verfahren nicht geben kann.

Suggested Citation

  • Heiler, Siegfried, 1991. "Überlegungen zum Vergleich von Verfahren der Komponentenzerlegung saisonabhängiger Zeitreihen," Discussion Papers, Series II 141, University of Konstanz, Collaborative Research Centre (SFB) 178 "Internationalization of the Economy".
    • Handle: RePEc:zbw:kondp2:141
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    References listed on IDEAS

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    1. Grether, D M & Nerlove, M, 1970. "Some Properties of 'Optimal' Seasonal Adjustment," Econometrica, Econometric Society, vol. 38(5), pages 682-703, September.
    2. Schlicht, Ekkehart & Pauly, Ralf, 1982. "Descriptive Seasonal Adjustment by Minimizing Perturbations," Darmstadt Discussion Papers in Economics 16, Darmstadt University of Technology, Department of Law and Economics.
    3. Schlicht, Ekkehart, 1981. "A Seasonal Adjustment Principle and a Seasonal Adjustment Method Derived From this Principle," Munich Reprints in Economics 3374, University of Munich, Department of Economics.
    4. Rainer Metz, 1984. "Zur empirischen Evidenz ≫langer Wellen≪," Kyklos, Wiley Blackwell, vol. 37(2), pages 266-290, May.
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