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Modelling Under Risk and Uncertainty : an Introduction to Statistical, Phenomenological and Computational Methods.

Modelling has permeated virtually all areas of industrial, environmental, economic, bio-medical or civil engineering: yet the use of models for decision-making raises a number of issues to which this book is dedicated:How uncertain is my model? Is it truly valuable to support decision-making? What k...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: De Rocquigny, Etienne
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Hoboken : John Wiley & Sons, 2012.
Temas:
Acceso en línea:Texto completo
Descripción
Sumario:Modelling has permeated virtually all areas of industrial, environmental, economic, bio-medical or civil engineering: yet the use of models for decision-making raises a number of issues to which this book is dedicated:How uncertain is my model? Is it truly valuable to support decision-making? What kind of decision can be truly supported and how can I handle residual uncertainty? How much refined should the mathematical description be, given the true data limitations? Could the uncertainty be reduced through more data, increased modeling investment or computational budget? Should it be red.
Descripción Física:1 online resource (484 pages)
ISBN:9781119969501
1119969506
9781119941651
1119941652