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Sensitivity Analysis

Visual analysis of sensitivity in CAT models: interactive visualisation for CAT model sensitivity analysis

Visual analysis of sensitivity in CAT models: interactive visualisation for CAT model sensitivity analysis

... Model Sensitivity Analysis (MSA) programme supports this role by enabling the major CAT models to be run thousands of times with systematic perturbations in selected model input ...

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New Metrics for Sensitivity Analysis of FFANN

New Metrics for Sensitivity Analysis of FFANN

... the sensitivity of its output to input and weight ...for sensitivity analysis is ...derived sensitivity analysis for each problem concludes that derived fault metric gives the better ...

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Aeroelastic Sensitivity Analysis of Airliner Wing

Aeroelastic Sensitivity Analysis of Airliner Wing

... r sensitivity analysis. The sensitivity coefficients defines the influence of the structural parameters changes to the structure eigenvalue and flutter stability ...

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Sensitivity analysis and uncertainty in linear programming

Sensitivity analysis and uncertainty in linear programming

... Most authors of textbooks on LP discuss the need for sensitivity analysis (SA). In analyzing output, researchers use SA to explore how changes in the problem data might change the solution to a linear ...

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Sensitivity Analysis of the UNO Activated Sludge Model

Sensitivity Analysis of the UNO Activated Sludge Model

... a sensitivity analysis on the predicted values of the final effluent TSS and total COD to test the effect of changing the kinetics constants using the recirculation ratio of ...

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Sensitivity Analysis of Minimum Variance Portfolios

Sensitivity Analysis of Minimum Variance Portfolios

... style sensitivity analysis of the invest- ment allocation decisions made, not within a modern portfolio theory (MPT), but within a capital asset pricing model (CAPM) ...

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Sensitivity analysis using risk measures

Sensitivity analysis using risk measures

... the sensitivity analysis is demon- strated, using the example of a non-linear insurance loss ...The analysis is performed on a Monte-Carlo sample of the ...

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Reliability Analysis on Shear Strength of RC Beams and Sensitivity Analysis

Reliability Analysis on Shear Strength of RC Beams and Sensitivity Analysis

... reliability analysis. Conducted a sensitivity analysis to establish the statistical influence played by each basic variable on the shear resistance predicted using the different building ...

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Sensitivity Analysis of Extra Credit Assignments

Sensitivity Analysis of Extra Credit Assignments

... Abstract In post-secondary management education, students receive course grades that often include points for extra credit assignments (ECAs). Although ECAs abound on college campuses we found that the literature lacks ...

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Parameter sensitivity analysis for biochemical reaction networks

Parameter sensitivity analysis for biochemical reaction networks

... Sensitivity analysis that uses the full probability distributions, rather than their summary measures, is computationally infeasible unless a suitable approximation of the master equation is ...and ...

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Sensitivity analysis of general nonconvex variational inequalities

Sensitivity analysis of general nonconvex variational inequalities

... 17. Noor, MA: Wiener-Hopf equations and variational inequalities. J. Optim. Theory Appl. 79, 197-206 (1993) 18. Noor, MA: Sensitivity analysis for quasi variational inequalities. J. Optim. Theory Appl. 95, ...

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Sensitivity analysis and uncertainty quantification for environmental models*,**,***

Sensitivity analysis and uncertainty quantification for environmental models*,**,***

... In the sequel of this section, we give a brief overview of the existing metamodelling methods (Section 2.1), then we focus on a specific method: the reduced basis method, which will be presented, in the linear case, in ...

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Bayesian sensitivity analysis with the Fisher–Rao metric

Bayesian sensitivity analysis with the Fisher–Rao metric

... global sensitivity to the perturbation of the likelihood or the prior over a suitable class, and local sensitivity to perturbations of the likelihood or the ...Bayesian sensitivity analysis is ...

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Sensitivity analysis of the CREAM method for Human Reliability

Sensitivity analysis of the CREAM method for Human Reliability

... This paper reports a sensitivity analysis of the CREAM HRA method. We consider three different aspects: the difference between the outputs of the Basic and Extended methods, on the same HRA scenario; the ...

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On the sensitivity analysis of dynamic characteristics for structural modification

On the sensitivity analysis of dynamic characteristics for structural modification

... the sensitivity coefficient from the normalised mass and orthogonal condition and calculated the change rates for the first ...the sensitivity analysis and improved the estimation ...the ...

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Optimization and Sensitivity Analysis of a Hybrid System in KISH_IRAN

Optimization and Sensitivity Analysis of a Hybrid System in KISH_IRAN

... HOMER performs hundreds or thousands of hourly simulations to ensure the best possible matching between supply and design in order to design the optimum system. To observe the impact of changes of the parameters such as, ...

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Modelling the Jakarta groundwater system : a sensitivity analysis

Modelling the Jakarta groundwater system : a sensitivity analysis

... In section 2.5.1 it was explained that literature would be used for describing an early identification of sensitivities of parameters. This also meant that models made for other systems than the Jakarta groundwater ...

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Sensitivity Analysis for Data Mining

Sensitivity Analysis for Data Mining

... classify sensitivity analysis methods into another three categories: mathematical, statistical and ...assess sensitivity in out- put values of models to the range of variation of an ...

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Sensitivity Analysis of Deep Neural Networks

Sensitivity Analysis of Deep Neural Networks

... for sensitivity analysis of DNN ...detection, sensitivity comparison between network architectures and that between training and test sets, and vulnerable region ...

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Rating firms and sensitivity analysis

Rating firms and sensitivity analysis

... the sensitivity model is detached from the expert system: They are reciprocally autonomous in that each of them may be used ...the sensitivity model presented does not depend on the fuzzy expert system: It ...

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