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The Uncertainty Analysis of Model Results

A Practical Guide

  • Eduard┬áHofer

Table of contents

  1. Front Matter
    Pages i-xv
  2. Eduard Hofer
    Pages 1-13
  3. Eduard Hofer
    Pages 15-19
  4. Eduard Hofer
    Pages 21-148
  5. Eduard Hofer
    Pages 149-177
  6. Eduard Hofer
    Pages 179-208
  7. Eduard Hofer
    Pages 209-263
  8. Eduard Hofer
    Pages 273-279
  9. Eduard Hofer
    Pages 307-346

About this book

Introduction

This book is a practical guide to the uncertainty analysis of computer model applications. Used in many areas, such as engineering, ecology and economics, computer models are subject to various uncertainties at the level of model formulations, parameter values and input data. Naturally, it would be advantageous to know the combined effect of these uncertainties on the model results as well as whether the state of knowledge should be improved in order to reduce the uncertainty of the results most effectively. The book supports decision-makers, model developers and users in their argumentation for an uncertainty analysis and assists them in the interpretation of the analysis results.

Keywords

epistemic uncertainty uncertainty analysis state of knowledge quantification aleatory uncertainty application of computer models data uncertainty model uncertainty sampling methods measuring uncertainty

Authors and affiliations

  • Eduard┬áHofer
    • 1
  1. 1.DorfenGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-76297-5
  • Copyright Information Springer International Publishing AG, part of Springer Nature 2018
  • Publisher Name Springer, Cham
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-3-319-76296-8
  • Online ISBN 978-3-319-76297-5
  • Buy this book on publisher's site