Sensitivity analysis of model variables
Sensitivity Analysis of a DSGE model
... Table 5 displays bi-dimensional projections from prior sample of the best 10 % RMSE for cases, when correlation between two parameters exceeds 0.3 in absolute value. The columns of the table represent various observable ...
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Local sensitivity analysis and bias model selection
... usual model assumptions may be questioned in some ...regression model is assumed by Weisberg (2005) to explain the fuel consumption against four covariate variables: Federal-aid highway miles, ...
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FLIP-MHD-based model sensitivity analysis
... MHD model for the solar wind were ...heliospheric model. A sensitivity study has been conducted through ensemble variances and representer “influence func- tions” analysis, both performed with ...
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Sensitivity analysis of a numerical welding simulation model
... c. LaMSID UMR EDF-CNRS-CEA 2832, 1 avenue du Générale de Gaulle, 92141 Clamart, FRANCE Résumé : La Simulation Numérique du Soudage (SNS) repose sur des calculs thermomécaniques par Eléments Finis, visant à déterminer ...
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Development, sensitivity and uncertainty analysis of LASH model
... computational model was developed for this study, named as Lavras Simulation of Hydrology ...This model is similar to the one presented by Mello et ...new model uses a distributed ap- proach instead ...
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Sensitivity Analysis for a Scenario-Based Reliability Prediction Model
... Throughout this paper we use a variant of the Boiler Control Sys- tem example presented by Uchitel et al. [11]. The Boiler Control system in Figure 1 consists of four components: Sensor, Control, Database and Actuator. ...
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Global Sensitivity Analysis of a Microbial Fuel Cell Model
... the sensitivity investigation of proton exchange membrane fuel cell (PEMFC) electrochemical model by using MPSA and aimed to determine the extent to which each parameter affects the modelling ...
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Global Sensitivity Analysis of a DSGE model of the Czech Economy
... tivity Analysis on a particular dynamic stochastic general equilibrium ...Schorfheide model, which is a small-scale structural general equi- librium model of a small open ...The sensitivity ...
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Sensitivity Analysis of the PBMR Reactor Unit Seismic Model
... the sensitivity of the USK force to the gap size the gap size was varied over a large range of values independent of all other ...this analysis are shown in ...in sensitivity at a gap size of ...
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Sensitivity Analysis of the Fission Gas Behavior Model in BISON
... Sweeping Model off 4.2 Orthogonal Array Study The next analysis we performed was an orthogonal array ...other variables were held at a nominal level: only the diffusion coefficient and LHR ...
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Cointegration Analysis among the Variables of the Ohlson Model for Brazilian Companies
... In this way, capital market participants are always looking for value stocks and a valid valuation method that will take them to the value inherent in the stock. Among the factors that can influence stock prices, the ...
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Proposing a global sensitivity analysis method for linear models in the presence of correlation among input variables
... The sensitivity measure is determined by calculating the ra- tio of model output while perturbing each parameter's value about the baseline value, in turn, to the nominal value of model ...on ...
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Analysis and Optimisation of Model Based Insulin Sensitivity and Secretion Tests
... as model variables in a 3-parameter identification also allows greater descriptive ability of the metabolism of individuals with ...DISST model and results by leading to potentially erroneous SI ...
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Global Sensitivity Analysis of the WetSpa model for the Ve river in Vietnam
... A comparison of the results of those two datasets show that both November and October presents the same pattern for the Peak discharge and the Total Volume, the graphs are presented in appendix D.2. The graphs show also ...
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Forecast Combination and Bayesian Model Averaging - A Prior Sensitivity Analysis
... dummy variables. The AR (1) benchmark model can only beat model averaged forecasts for the cases of Bulgaria and ...many variables serve as good ...median model is typically very ...
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Sensitivity Analysis of Composite Indicators through Mixed Model Anova
... uncertainty analysis aims to quantify the uncertainty of the model output through the analysis of simple statistics such as the expected value and the variance of the output or its density ...
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A sensitivity analysis of the PAWN sensitivity index
... the model under scrutiny ...conclusions Sensitivity analysis is an important tool to check the robustness of a model in the context of its ...the sensitivity of the output ...
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A Sensitivity Analysis of the Real Option Model
... some merchandise under the demand uncertainty. We assume that the demand of the merchandise follows one-period binomial model. Let Y 0 denote the initial demand. After one period the demand of the merchandise, ...
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Visual analysis of sensitivity in CAT models: interactive visualisation for CAT model sensitivity analysis
... aspatial model sensitivity analysis, using a Venezuela-based earthquake CAT model as a case ...the model inputs that drive the model’s estimated losses using interactive maps, treemaps ...
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Sensitivity indices for independent groups of variables
... In this paper, we give new theoretical results about the variance-based sensitiv- ity indices for independent groups of inputs. These results drastically reduce the computational cost of these indices when the ...
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