Results from the sensitivity analysis
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 ...
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Women’s Changing Participation in the Labor Force of Moroccan Economy. An Analysis of the Sensitivity on the Results of CGE Model
... unconditional sensitivity analysis, we wish to check that the variability of the model as a whole is not too important in the event of simultaneous modification of all the ...(2002). From the ...
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Visual analysis of sensitivity in CAT models: interactive visualisation for CAT model sensitivity analysis
... MSA results to find those that are most significant before studying Figure ...data from CIESIN (2004), elevation data from USGS (1996), CRESTA boundary data from GfK GeoMarketing and other ...
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Rating firms and sensitivity analysis
... the results for giving rise to the Default Risk Sensitivity Model (DRSM) which inves- tigates the variation of the enterprise default risk under changes in the model inputs for ex post analysis and ...
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Sensitivity Analysis of Flexible Provisioning
... Figure 2 shows the corresponding data when our strategy underestimates the duration of service providers. In these settings, our strategy handles an error of up to 20%-30% (˜ µ ≤ 0.7) very well — the results are ...
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Sensitivity Analysis of a DSGE model
... projections from prior sample of the best 10 % RMSE for cases, when correlation between two parameters exceeds ...the results in table 3 , some 97 % values of the subset correspond to behavioral ...
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Sensitivity Analysis of the Replacement Problem
... The rest of the paper is organized as follows. The next section presents the literature review for determining the optimal replacement policy. Also we present the problem formulation to the replacement problem with dis- ...
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Metamodel construction for sensitivity analysis
... theoretical results [18] suggest that it may be more advisable not to apply the selection schemes based on prediction risk to the lasso estimators, but rather to the Gauss-lasso ...
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Chapter 6: Sensitivity Analysis
... output results is ...approximated from estimates of the fluctuating costs of raw materials, expected sales volumes, labour costs, ...know from sensitivity analysis is which data has a ...
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Appendix 1 Assumptions and results of scenarios in the financial sensitivity model
... One base case and ten adjusted scenarios have been devised and reviewed, mostly consisting of the impact of interest rate changes on total interest expense, and the consequent impact on net interest margins. The ...
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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 ...
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GPT-Free Sensitivity Analysis for Reactor Depletion and Analysis.
... eigenvalue sensitivity profile ...the results generated from classical PT to find a subspace in the parameters space that can be used to construct a ROM that is more amenable for forward ...
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Sensitivity results in stochastic analysis
... dx t = f (x s ) du s , t ∈ [0, T ], x 0 = x, x ∈ R n . Under some condition on f this equation is uniquely solvable for u ∈ C 1-var ([0, T ], R d ). Let Γ : C 1-var ([0, T ], R d ) → C 1-var ([0, T ], R n ), u 7→ x be ...
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Sub Grouping Healthy Subjects’ Sensitivity to Pain and Its Relationship to Personality Traits: Results of a Cluster Analysis
... the sensitivity to ...inconsistent results due to their use of different experimental pain modalities, diverse pain measurements, and varying expe- rimental settings ...conclusions from one study to ...
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Sensitivity models for missing covariates in the analysis of survival data from multiple surveys
... data from five independent surveys, we evaluate regional variations in survival in cerebral ...analysed. Results are compared between a naive complete case analysis; a full likelihood model in which ...
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Valuing malaria morbidity: results from a global meta-analysis
... the sensitivity of results in meta-regressions as an issue (Nelson and Kennedy 2009) and hence use different regression specifications, robustness checks and ...consistent results, of which some are ...
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Sensitivity Analysis
... formulated? And what has caused them to become, and to stay, so firmly entrenched?" Mirowski on DSGE The quote reported is from Miller, B., 2010, Opening Address, The Hearing Charter of the House Committee on ...
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Sensitivity of Spaceborne and Ground Radar Comparison Results to Data Analysis Methods and Constraints
... For the Dual-Frequency Precipitation Radar (DPR) of the upcoming Global Precipitation Measurement (GPM) mission, a prototype DPRJGR comparison algorithm based on similar T[r] ...
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Sensitivity analysis of drinking dynamics: From deterministic to stochastic formulations
... derived from the de- terministic model; stochastic simulations are used to quantify how histograms of the number of problem drinkers depend on the recovery and relapse rates, as these rates are gradually ...
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Energy and Sensitivity Analysis of Biodiesel Production from Microalgae Biomass
... biodiesel from microalgae and jathropha, 64% and 44% of energy from input resources were destroyed respectively for the production of 1 tonne ...and sensitivity analysis for the production of ...
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