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Statistical modelling of warm-spell duration series using hurdle models
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Mathematics, Applied Mathematics and Statistics.ORCID iD: 0000-0002-5451-4563
2017 (English)In: SORT - Statistics and Operations Research Transactions, ISSN 1696-2281, Vol. 41, no 1, p. 177-188Article in journal (Refereed) Published
Abstract [en]

Regression models for counts could be applied to the earth sciences, for instance when studying trends of extremes of climatological quantities. Hurdle models are modified count models which can be regarded as mixtures of distributions. In this paper, hurdle models are applied to model the sums of lengths of periods of high temperatures. A modification to the common versions presented in the literature is presented, as left truncation as well as a particular treatment of zeros is needed for the problem. The outcome of the model is compared to those of simpler count models.

Place, publisher, year, edition, pages
2017. Vol. 41, no 1, p. 177-188
National Category
Probability Theory and Statistics
Research subject
Statistics
Identifiers
URN: urn:nbn:se:uu:diva-326703DOI: 10.2436/20.8080.02.57ISI: 000407307600009OAI: oai:DiVA.org:uu-326703DiVA, id: diva2:1128359
Available from: 2017-07-25 Created: 2017-07-25 Last updated: 2017-11-16Bibliographically approved

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CiteExportLink to record
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