The Uncertainty Analysis of Model Results: A Practical Guide

Author:   Eduard Hofer
Publisher:   Springer International Publishing AG
Edition:   1st ed. 2018
ISBN:  

9783319762968


Pages:   346
Publication Date:   14 May 2018
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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The Uncertainty Analysis of Model Results: A Practical Guide


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Author:   Eduard Hofer
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   1st ed. 2018
Weight:   0.711kg
ISBN:  

9783319762968


ISBN 10:   3319762966
Pages:   346
Publication Date:   14 May 2018
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Preface.- Introduction and necessary distinctions.- Step 1: Search.- Step 2: Quantify.- Step 3: Propagate.- Step 4: Estimate uncertainty.- Step 5: Rank uncertainties.- Step 6: Present the analysis and interpret its results.- Practical execution of the analysis.- Uncertainty analysis when separation of uncertainties is required.- Practical examples.- References.- Subject index.

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Author Information

Eduard Hofer holds a Master of Science diploma with distinction in mathematics from the Technical University of Munich (TUM), Germany. He developed a method for the numerical solution of initial value problems with large systems of stiff first-order ordinary differential equations. He also designed a non-commercial, PC-based software system for uncertainty analysis of results from computer models and conducted the uncertainty analysis of numerous applications of computationally demanding computer models. Hofer served on the external peer-review committee of a major US dose reconstruction study with the subtask in uncertainty and sensitivity analysis, and contributed to numerous international conferences. Furthermore, he received an award for his contributions in the field of probabilistic risk assessment.

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