Sensitivity and uncertainty analysis

by D. G Cacuci

Publisher: Chapman & Hall/CRC in Boca Raton, Fla

Written in English
Cover of: Sensitivity and uncertainty analysis | D. G Cacuci
Published: Downloads: 927
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Subjects:

  • Sensitivity theory (Mathematics),
  • Uncertainty (Information theory),
  • Mathematical models -- Evaluation

Edition Notes

Includes bibliographical references and index

StatementDan G. Cacuci
Classifications
LC ClassificationsQA402.3 .C255 2003
The Physical Object
Paginationv. <1- > :
ID Numbers
Open LibraryOL17092890M
ISBN 101584881151
LC Control Number2003043992

Sensitivity Analysis in Earth Observation Modeling highlights the state-of-the-art in ongoing research investigations and new applications of sensitivity analysis in earth observation modeling. In this . The paper focuses on sensitivity analysis achieved on a mathematical model for system reliability assessment: the aim of this study is to assess propagation and quantification of uncertainty from Author: Marvin Rausand. Uncertainty analysis. Uncertainty budgets and sensitivity coefficients: Case study showing uncertainty budget: Uncertainty components are listed in a table along with their corresponding sensitivity . Uncertainty analysis attempts to quantify the uncertainty in the outputs of a model that result from model assumptions and uncertainty in model input values. It reflects the uncertainty in the conclusions of the study. Sensitivity analysis .

We present here an example that illustrates sensitivity analysis but not uncertainty analysis (uncertainties are not evaluated) and only for direct radiative forcing by sulfate particles. Introduction / C.R. Weisbin --Uncertainty in the nuclear data used for reactor calculations / R.W. Peelle --Calculational methodology and associated uncertainities / E. Kujawski and C.R. Weisbin --Integral experiment information for fast reactors / P.J. Collins --Sensitivity functions for uncertainty analysis . Then risk or uncertainty analysis becomes relevant. Its techniques are Monte Carlo sampling, including variance reduction techniques (such as Latin hypercube sampling), possibly combined with. Sensitivity analysis is the study of how the uncertainty in the output of a mathematical model or system (numerical or otherwise) can be divided and allocated to different sources of uncertainty in its inputs. A related practice is uncertainty analysis, which has a greater focus on uncertainty quantification and propagation of uncertainty; ideally, uncertainty and sensitivity analysis .

Sensitivity Analysis 3 Since there is always some uncertainty in the data, it is useful to know over There are a number of questions that could be asked concerning the sensitivity of an optimal solution File Size: 2MB. @article{osti_, title = {Comparison of uncertainty and sensitivity analysis techniques for computer models}, author = {Iman, R L and Helton, J C}, abstractNote = {Uncertainty analysis and sensitivity analysis .

Sensitivity and uncertainty analysis by D. G Cacuci Download PDF EPUB FB2

This book fills that gap, focusing on the mathematical underpinnings of the Adjoint Sensitivity Analysis Procedure (ASAP) and the use of deterministically obtained sensitivities for subsequent uncertainty by: The principles of sensitivity analysis are carefully described and suitable methods for approaching many types of problems are given.

The book introduces the modeller to the entire casual assessment chain, from data to predictions, whilst explaining the impact of source uncertainties 5/5(1). Buy Sensitivity and Uncertainty Analysis, Volume II: Applications to Large-Scale Systems on FREE SHIPPING on qualified orders Sensitivity and Uncertainty Analysis, Volume II: Applications to Large-Scale Systems: Dan G.

Cacuci, Mihaela Ionescu-Bujor, Michael Navon: : BooksCited by: Book Description As computer-assisted modeling and analysis of physical processes have continued to grow and diversify, sensitivity and uncertainty analyses have become indispensable investigative.

Sensitivity & Uncertainty Analysis, Volume 1: Theory - CRC Press Book As computer-assisted modeling and analysis of physical processes have continued to grow and diversify, sensitivity and uncertainty analyses. As computer-assisted modeling and analysis of physical processes have continued to grow and diversify, sensitivity Sensitivity and uncertainty analysis book uncertainty analyses have become indispensable investigative scientific tools in their own right.

While most techniques used for these analyses 1/5(1). Sensitivity and Uncertainty Analysis. Volume I: Theory focused on the mathematical underpinnings of two important methods for such analyses: the Adjoint Sensitivity Analysis Procedure and the Global Adjoint Sensitivity Analysis.

The principles of sensitivity analysis are carefully described and suitable methods for approaching many types of problems are given. The book introduces the modeller to the entire casual assessment. uncertainty or rst-order uncertainty (less common) Heterogeneity: Di erences between patients that can be attributed or explained by patient’s characteristics (think sex, age, income, and so on) Uncertainty: What sensitivity analysis File Size: KB.

Measurement uncertainty analysis is a formal process of identifying and quantifying possible errors and combining the results to obtain an estimate of the total uncertainty of a measurement [61]. An inherent part of this process is understanding. Definition of uncertainty and sensitivity analysis.

Sensitivity analysis: The study of the relative importance of different input factors on the model output. Uncertainty analysis: Focuses on just quantifying the uncertainty File Size: 2MB.

Although there is uncertainty about the social value judgment and about its effects on decisions based on the analysis, varying the value deterministically in the analysis and performing a sensitivity analysis to examine the impact on the outcomes of interest is usually preferable to uncertainty by: Sensitivity and Uncertainty Analysis.

Volume I: Theory focused on the mathematical underpinnings of two important methods for such analyses: the Adjoint Sensitivity Analysis Procedure and the Global Adjoint Sensitivity Analysis Procedure.

This volume concentrates on the practical aspects of performing these analyses Manufacturer: CRC Press. As computer-assisted modeling and analysis of physical processes have continued to grow and diversify, sensitivity and uncertainty analyses have become indispensable scientific tools.

This volume. Sensitivity and Uncertainty Analysis. Volume I: Theory focused on the mathematical underpinnings of two important methods for such analyses: the Adjoint Sensitivity Analysis Procedure and the Global Adjoint Sensitivity Analysis Cited by: Sensitivity analysis (SA) and uncertainty quantification (UQ) are used to assess and improve engineering models.

SA of fuel cell models can be challenging because of the large number of design. 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 Format: Hardcover.

Book Description. As computer-assisted modeling and analysis of physical processes have continued to grow and diversify, sensitivity and uncertainty analyses have become indispensable scientific tools.

This volume focuses on the practical aspects of performing these analyses. sensitivity and uncertainty analysis. Thus, the scientific goal of sensitivity and uncertainty analysis is not to confirm preconceived notions, such as about the relative importance of specific inputs, but to.

Consider a model for a disease epidemic as an example. There are input parameters that dictate the dynamics of disease transmission, and output variables that describe how many people got sick during the epidemic.

Uncertainty analysis. Sensitivity and uncertainty analysis 40 can be used to evaluate the robustness of the process models and to quantify the expected extent of variation in the process outcome, in addition to. Uncertainty and sensitivity analysis. global sensitivity analysis methods that allow you to examine the effect of changes to all input variables simultaneously and over the entire input space you are interested in.

Example methods include the Fourier Analysis Sensitivity. Uncertainty Analysis A parallel to sensitivity analysis is uncertainty ence shows that uncertainty related to an LCA inventory,can be significant,especially for airborne emissions and liquid.

Information provided in this book is of practical value to readers looking to understand the principles of sensitivity analysis in earth observation modeling, the level of scientific maturity in the field, and.

1 Introduction to Sensitivity Analysis 1 Models and Sensitivity Analysis 1 Definition 1 Models 2 Models and Uncertainty 3 How to Set Up Uncertainty and Sensitivity Analyses 5 Implications for Model Quality 9 Methods and Settings for Sensitivity Analysis.

from book Water Resource Systems Planning and Management (pp) System Sensitivity and Uncertainty Analysis. Chapter March This paper presents a sensitivity and uncertainty analysis in order to gain an understanding of the directions in which efforts should be made to reduce these uncertainties.

The analyses were carried Cited by:   What-If Calculation: Calculations for testing a financial model using different assumptions and scenarios. What-if`calculations enable the forecaster to check the variance in end results for a Author: Will Kenton.

Focuses on the mathematical underpinnings of the Adjoint Sensitivity Analysis Procedure (ASAP) and the use of deterministically obtained sensitivities for subsequent uncertainty analysis. Rating: (not. Uncertainty and sensitivity analysis for crop models Hervé Monod, Cédric Naud and David Makowski 1.

Introduction 55 2. Ingredients of uncertainty and sensitivity analysis 57 3. Uncertainty analysis 62 4. Sensitivity analysis. 4 USES OF UNCERTAINTY ANALYSIS (I) • Assess experimental procedure including identification of potential difficulties – Definition of necessary steps – Gaps • Advise what procedures need to be put in File Size: KB.The topic of Uncertainty Quantification (UQ) has witnessed massive developments in response to the promise of achieving risk mitigation through scientific prediction.

It has led to the integration of ideas .Sensibility analysis is sometimes called ‘what if’ analysis. Sensitivity analysis, as a technique, attempts to make the strategist more aware of the ‘states of nature’ (i.e., different variables as Author: Shital P.