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Sensitivity analysis and techniques

Parameter Selection and Verification Techniques Based on Global Sensitivity Analysis Illustrated for an HIV Model

Parameter Selection and Verification Techniques Based on Global Sensitivity Analysis Illustrated for an HIV Model

... selection techniques are applied to the HIV model, we found that certain parameters are determined highly influential by all four ...global sensitivity analysis that the relative effectiveness of ...

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Sensitivity Analysis of Multicarrier Digital Pre-distortion/ Equalization Techniques for Non-linear Satellite Channels

Sensitivity Analysis of Multicarrier Digital Pre-distortion/ Equalization Techniques for Non-linear Satellite Channels

... processing techniques that counteract for both aspects enabling efficient multicarrier on board ...compensation techniques to the considered scenario and short-listed the most favourable ...performance ...

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Sensitivity analysis and related analysis: A survey of statistical techniques

Sensitivity analysis and related analysis: A survey of statistical techniques

... How general are the results of these SB applications; can SB be applied with confi- dence to other simulation models? Scientists must always make assumptions to make progress. More specifically, any screening technique ...

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Using sensitivity analysis and visualization techniques to open black box data mining models

Using sensitivity analysis and visualization techniques to open black box data mining models

... Given the obtained results, and as a standard approach for a real-world application, we suggest the use of the novel DSA method using all data samples, in conjunction with the AAD measure of importance. DSA is com- ...

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Uncertainty propagation and sensitivity analysis techniques in building performance simulation to support conceptual building and system design

Uncertainty propagation and sensitivity analysis techniques in building performance simulation to support conceptual building and system design

... The analysis provided empirical evidence of the presence of at least two attributes, four subsystem categories and four ...and sensitivity analysis is reported in the ...and sensitivity ...

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Employing local and global sensitivity analysis techniques to guide user interface development of energy certification and compliance software tools

Employing local and global sensitivity analysis techniques to guide user interface development of energy certification and compliance software tools

... Carlo Analysis is a good method for assessing the effects of approximations on groups of ...Carlo Analysis could be well approximated by the Root Sum Squares of the singular effects involved, saving ...

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Seismically active area monitoring by robust TIR satellite techniques: a sensitivity analysis on low magnitude earthquakes in Greece and Turkey

Seismically active area monitoring by robust TIR satellite techniques: a sensitivity analysis on low magnitude earthquakes in Greece and Turkey

... satellite techniques Natural and observational conditions can be so highly vari- able, both in space and in time, that it cannot be excluded that a spatial-temporal anomaly, claimed to be in some connec- tion with ...

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Sensitivity Analysis for Data Mining

Sensitivity Analysis for Data Mining

... Sensitivity analysis methods estimate the rate of change in the output of a model,which is caused by the changes of the model ...[15]. Sensitivity analysis has been ap- plied in various fields ...

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Chapter 6: Sensitivity Analysis

Chapter 6: Sensitivity Analysis

... in sensitivity analysis: you are typically limited to analyzing the impact of changing only one coefficient at a ...accepted techniques for changing several coefficients at once: the 100% rule, and ...

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An Overview of the Design and Analysis of Simulation Experiments for Sensitivity Analysis

An Overview of the Design and Analysis of Simulation Experiments for Sensitivity Analysis

... I did not discuss so-called optimal designs because these designs use statistical assumptions (such as white noise) that I find too unrealistic. A recent discussion of optimal DOE—including references—is Spall (2003). ...

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Sensitivity analysis indicators of economic effectiveness

Sensitivity analysis indicators of economic effectiveness

... Common problem for fruits and table grapes are post-harvest losses and the low marketable quality of produce. Causes for post-harvest losses and quality non-conformities within the domestic fruit distribution system are ...

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DC fault parameter sensitivity analysis

DC fault parameter sensitivity analysis

... modeling techniques have been proposed already ...with techniques presented in [15-17] is not sufficient to perform a large number of simulations ...

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Sensitivity analysis using risk measures

Sensitivity analysis using risk measures

... a sensitivity analysis method based on derivatives of the output risk measure, in the direction of model ...global sensitivity measure, explicitly linking sensitivity and uncertainty ...the ...

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The Sensitivity to Parametric Variation in Direct Minimization Techniques

The Sensitivity to Parametric Variation in Direct Minimization Techniques

... Global and local response functions that in some way characterize the solution may be used to facilitate the analysis by indicating which cost function terms have the most influence on [r] ...
Sensitivity- and Uncertainty-Based Criticality Safety Validation Techniques

Sensitivity- and Uncertainty-Based Criticality Safety Validation Techniques

... prototypic sensitivity and uncertainty ~S0U! analysis methods have been designed for use within the Standardized Computer Analyses for Licensing Evaluation ~SCALE! code ...these analysis ...

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Sensitivity of Modeling Techniques Used for Analysis of Modular Composite Floor Panels in Nuclear Safety-Related Structures

Sensitivity of Modeling Techniques Used for Analysis of Modular Composite Floor Panels in Nuclear Safety-Related Structures

... Although various mesh divisions are presented in Figures 6 and 7 for the SHELL/BEAM model, it is recognized that for large finite element models needed to represent typical nuclear structures the practical limit on ...

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Sensitivity and Specificity Analysis Relation to Statistical Hypothesis Testing and Its Errors: Application to Cryptosporidium Detection Techniques

Sensitivity and Specificity Analysis Relation to Statistical Hypothesis Testing and Its Errors: Application to Cryptosporidium Detection Techniques

... research. Sensitivity and speci- ficity play a major role in estimating the efficiency of scientific procedural stages used in carrying out research through either empirical approach or experimental ...

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Sensitivity Analysis

Sensitivity Analysis

... Thus, as exemplified by the case of GMO, a risk analysis is performed to demonstrate the safety of a new technology after the technology has been introduced. According to Langdon Winner (1986, p. 138-163) citizens ...

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A sensitivity analysis of the PAWN sensitivity index

A sensitivity analysis of the PAWN sensitivity index

... in sensitivity indices that have the potential to condition the results of a given sensitivity ...of sensitivity indices, however, are especially important for they condition the computational path ...

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Sensitivity Analysis with Excel

Sensitivity Analysis with Excel

... Note that the optimal solution value changes as the objective function coefficients change, but the optimal product mix and vertex stays the same within the objective function coeffici[r] ...

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