Statistical modeling of warm-spell duration series using hurdle models

Jesper Ryden

Ayuda

Statistical modeling of warm-spell duration series using hurdle models

Jesper Rydén ^[1]
1. [1] Uppsala University
  
  Uppsala University
  
  Uppsala domkyrkoförs., Suecia
Localización: Sort: Statistics and Operations Research Transactions, ISSN 1696-2281, Vol. 41, Nº. 1, 2017, págs. 177-188
Idioma: inglés
Enlaces
- Texto completo (pdf)
Resumen
- 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.
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