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Out-of-sample validation for structured expert judgment of Asian carp establishment in Lake Erie.
Cooke, Roger M; Wittmann, Marion E; Lodge, David M; Rothlisberger, John D; Rutherford, Edward S; Zhang, Hongyan; Mason, Doran M.
Afiliación
  • Cooke RM; Resources for the Future, Washington, DC, USA; University of Strathclyde, Glasgow, Scotland, United Kingdom; Delft University of Technology, Delft, The Netherlands.
Integr Environ Assess Manag ; 10(4): 522-8, 2014 Oct.
Article en En | MEDLINE | ID: mdl-25044130
Structured expert judgment (SEJ) is used to quantify the uncertainty of nonindigenous fish (bighead carp [Hypophthalmichthys nobilis] and silver carp [H. molitrix]) establishment in Lake Erie. The classical model for structured expert judgment model is applied. Forming a weighted combination (called a decision maker) of experts' distributions, with weights derived from performance on a set of calibration variables from the experts' field, exhibits greater statistical accuracy and greater informativeness than simple averaging with equal weights. New methods of cross validation are applied and suggest that performance characteristics relative to equal weighting could be predicted with a small number (1-2) of calibration variables. The performance-based decision maker is somewhat degraded on out-of-sample prediction, but remained superior to the equal weight decision maker in terms of statistical accuracy and informativeness.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Carpas / Lagos / Medición de Riesgo / Especies Introducidas Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Animals Idioma: En Revista: Integr Environ Assess Manag Año: 2014 Tipo del documento: Article País de afiliación: Países Bajos Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Carpas / Lagos / Medición de Riesgo / Especies Introducidas Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Animals Idioma: En Revista: Integr Environ Assess Manag Año: 2014 Tipo del documento: Article País de afiliación: Países Bajos Pais de publicación: Estados Unidos