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Simplicity, complexity, and modelling /

Several points of disagreement exist between different modelling traditions as to whether complex models are always better than simpler models, as to how to combine results from different models and how to propagate model uncertainty into forecasts. This book represents the result of collaboration b...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Christie, Mike
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Chichester, West Sussex, U.K. ; Hoboken, N.J. : Wiley, ©2011.
Colección:Statistics in practice.
Temas:
Acceso en línea:Texto completo
Descripción
Sumario:Several points of disagreement exist between different modelling traditions as to whether complex models are always better than simpler models, as to how to combine results from different models and how to propagate model uncertainty into forecasts. This book represents the result of collaboration between scientists from many disciplines to show how these conflicts can be resolved. Key Features: Introduces important concepts in modelling, outlining different traditions in the use of simple and complex modelling in statistics. Provides numerous case studies on complex modelling, such as clima.
Descripción Física:1 online resource.
Bibliografía:Includes bibliographical references and index.
ISBN:9781119951452
1119951453
9781119960966
1119960967