The Uncertainty Analysis of Model Results A Practical Guide /
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...
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|---|---|
| Médium: | Elektronický zdroj E-kniha |
| Jazyk: | angličtina |
| Vydáno: |
Cham :
Springer International Publishing,
2018.
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| Vydání: | 1st ed. 2018. |
| Témata: | |
| ISBN: | 9783319762975 |
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| 008 | 180502s2018 gw | s |||| 0|eng d | ||
| 020 | |a 9783319762975 | ||
| 024 | 7 | |a 10.1007/978-3-319-76297-5 |2 doi | |
| 035 | |a CVTIDW14997 | ||
| 040 | |a Springer-Nature |b eng |c CVTISR |e AACR2 | ||
| 041 | |a eng | ||
| 100 | 1 | |a Hofer, Eduard. |4 aut | |
| 245 | 1 | 4 | |a The Uncertainty Analysis of Model Results |h [electronic resource] : |b A Practical Guide / |c by Eduard Hofer. |
| 250 | |a 1st ed. 2018. | ||
| 260 | 1 | |a Cham : |b Springer International Publishing, |c 2018. | |
| 300 | |a XV, 346 p. 129 illus., 107 illus. in color. |b online resource. | ||
| 500 | |a Mathematics and Statistics | ||
| 505 | 0 | |a 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. | |
| 516 | |a text file PDF | ||
| 520 | |a 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. | ||
| 650 | 0 | |a Statistics . | |
| 650 | 0 | |a Computer simulation. | |
| 650 | 0 | |a Mathematical models. | |
| 650 | 0 | |a Economic theory. | |
| 650 | 0 | |a Environmental sciences. | |
| 650 | 0 | |a Quality control. | |
| 650 | 0 | |a Reliability. | |
| 650 | 0 | |a Industrial safety. | |
| 856 | 4 | 0 | |u http://hanproxy.cvtisr.sk/han/cvti-ebook-springer-eisbn-978-3-319-76297-5 |y Vzdialený prístup pre registrovaných používateľov |
| 910 | |b ZE12277 | ||
| 919 | |a 978-3-319-76297-5 | ||
| 974 | |a andrea.lebedova |f Elektronické zdroje | ||
| 992 | |a SUD | ||
| 999 | |c 246663 |d 246663 | ||