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Statistical Extremes and Applications pp 513–520Cite as

Frost Data: A Case Study on Extreme Values of Non-Stationary Sequences

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Part of the book series: NATO ASI Series ((ASIC,volume 131))

Abstract

The non-stationary sequence of daily minimum temperature is studied to estimate the last frost day, i.e. the last day in spring time with a minimum temperature below a critical temperature. Instead of the usual order statistics to estimate a certain fractile of the last frost distribution, a model of extreme values is used to give a more reliable estimator, which is compared with some other simple estimators, including also an estimator of a computer simulation.

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References

  • Abramowitz, M. and Stegun, I. A. 1965, Handbook of mathematical functions. Dover, New York.

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  • Ginsburg, T. 1970, Die statistische Auswertung von langjährigen Temperaturreihen. Veröff. der Schweiz. Met. Zentralanst., Nr. 19, Zürich.

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  • Hüsler, J. 1983b, Anwendung der Extremwerttheorie von nicht-stationären Zufallsfolgen bei Frostdaten. Techn. Bericht 10, Inst. für math. Statistik, Universität Bern

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  • Volz, R. and Filliger, P. 1982, Ein Wahrschinlichkeitsmodell zur Bestimmung des letzten Spätfrosttermins. Geophysik, Beiheft zum Jahrbuch der SNG, pp. 21–25.

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Author information

Authors and Affiliations

  1. Department of math. Statistics, University of Berne, Switzerland

    Jürg Hüsler

Authors
  1. Jürg Hüsler
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Editors and Affiliations

  1. Faculty of Sciences of Lisbon, Center for Statistics and Applications (I.N.I.C.), Academy of Sciences of Lisbon, Lisbon, Portugal

    J. Tiago de Oliveira

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© 1984 Springer Science+Business Media Dordrecht

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Hüsler, J. (1984). Frost Data: A Case Study on Extreme Values of Non-Stationary Sequences. In: de Oliveira, J.T. (eds) Statistical Extremes and Applications. NATO ASI Series, vol 131. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-3069-3_39

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  • DOI: https://doi.org/10.1007/978-94-017-3069-3_39

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-90-481-8401-9

  • Online ISBN: 978-94-017-3069-3

  • eBook Packages: Springer Book Archive

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