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A Fast and Robust Way to Estimate Overlap of Niches, and Draw Inference.
Parkinson, Judith H; Kutil, Raoul; Kuppler, Jonas; Junker, Robert R; Trutschnig, Wolfgang; Bathke, Arne C.
Afiliação
  • Parkinson JH; Department of Mathematics, University of Salzburg, Hellbrunner Straße 34, 5020 Salzburg, Austria.
  • Kutil R; Department of Mathematics, University of Salzburg, Hellbrunner Straße 34, 5020 Salzburg, Austria.
  • Kuppler J; Institute of Evolutionary Ecology and Conservation Genomics, University of Ulm, Albert-Einstein-Allee 11 89075 Ulm, Germany.
  • Junker RR; Department of Biosciences, University of Salzburg, Hellbrunner Straße 34, 5020 Salzburg, Austria.
  • Trutschnig W; Department of Biosciences, University of Salzburg, Hellbrunner Straße 34, 5020 Salzburg, Austria.
  • Bathke AC; Department of Mathematics, University of Salzburg, Hellbrunner Straße 34, 5020 Salzburg, Austria.
Int J Biostat ; 14(2)2018 06 15.
Article em En | MEDLINE | ID: mdl-29906269
ABSTRACT
The problem of quantifying the overlap of Hutchinsonian niches has received much attention lately, in particular in quantitative ecology, from where it also originates. However, the niche concept has the potential to also be useful in many other application areas, as for example in economics. We are presenting a fully nonparametric, robust solution to this problem, along with exact shortcut formulas based on rank-statistics, and with a rather intuitive probabilistic interpretation. Furthermore, by deriving the asymptotic sampling distribution of the estimators, we are proposing the first asymptotically valid inference method, providing confidence intervals for the niche overlap. The theoretical considerations are supplemented by simulation studies and a real data example.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Bioestatística / Interpretação Estatística de Dados / Modelos Estatísticos / Ecossistema / Modelos Biológicos Tipo de estudo: Risk_factors_studies Limite: Animals Idioma: En Revista: Int J Biostat Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Bioestatística / Interpretação Estatística de Dados / Modelos Estatísticos / Ecossistema / Modelos Biológicos Tipo de estudo: Risk_factors_studies Limite: Animals Idioma: En Revista: Int J Biostat Ano de publicação: 2018 Tipo de documento: Article