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Modelling Under Risk and Uncertainty : an Introduction to Statistical, Phenomenological, and Computational Methods by Etienne de Rocquigny is a nonfiction available to read on EtoBox.

What is Modelling Under Risk and Uncertainty : an Introduction to Statistical, Phenomenological, and Computational Methods about?

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 reduced now or later ? How robust is the analysis or the computational methods involved ? Should / could those methods be more robust ? Does it make sense to handle uncertainty, risk, lack of knowledge, variability or errors altogether ? How reasonable is the choice of probabilistic modeling for rare events ? How rare are the events to be considered ? How far does it make sense to handle extreme events and elaborate confidence figures ? Can I take advantage of expert / phenomenological knowledge to tighten the probabilistic figures ? Are there connex domains that could provide models or inspirat

Who reads Modelling Under Risk and Uncertainty : an Introduction to Statistical, Phenomenological, and Computational Methods?

Author

Etienne de Rocquigny

Publisher

Wiley & Sons, Limited, John

Published

2012

Language

EN

ISBN

9781119941651

Category

nonfiction

Subjects

Mathematics, Management, Economics