Revistes Publicacions URV: SORT - Statistics and Operations Research Transactions> 2017

Statistical modeling of warm-spell duration series using hurdle models

  • Dades identificatives

    Identificador: RP:2461
    Handle: https://hdl.handle.net/20.500.11797/RP2461
    Autors:
    Rydén, Jesper
    Resum:
    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.

  • Altres:

    Autor/s de la URV: Rydén, Jesper
    Paraules clau: Count data, hurdle models, Poisson regression, negative binomial distribution, climate
    Resum: 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.
    Any de publicació de la revista: 2017
    Tipus de publicació: info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article

  • Paraules clau:

    Count data, hurdle models, Poisson regression, negative binomial distribution, climate

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