Parameter distributions for probabilistic sensitivity analysis
DC fault parameter sensitivity analysis
... Protection devices are, therefore, required to operate with sufficient speed to avoid device failure. A method is introduced to calculate the critical time for protection to operate. Using this method it is then shown ...
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Sensitivity Analysis of Risk Measures for Discrete Distributions
... We consider the computation of quantiles and spectral risk measures for discrete distributions. This accounts for the empirical distributions of portfolio returns or outcomes of Monte Carlo simulations. We ...
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Parameter sensitivity analysis for biochemical reaction networks
... parameters. Parameter sensitivity analysis that studies the e ff ects of parameter changes to the behaviour of biochemical networks can be a powerful tool in unravelling their key parameters ...
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Sensitivity and inverse analysis methods for parameter intervals
... a sensitivity analysis is to evaluate the extent of the changes that occur in a decision- making target or output by varying one or more of the uncertain input ...a sensitivity analysis, the ...
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Sensitivity analysis of the probabilistic damage stability regulations for RoPax vessels
... thorough analysis of the sensitivity of the Attained Sub- division Index with reference to a wide range of related design ...The sensitivity of the probabilistic regulations was investigated ...
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Computational Simulations of Similar Probabilistic Distributions to the Binomial and Poisson Distributions
... SMp(k;n,p) distributions. Also, this obtains the probabilistic distributions for a random discrete variable X with maximum probability in x=µ or x≈µ, and equal to zero in x ≥ Xmax, where µ is the ...
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Computational Simulations of Similar Probabilistic Distributions to the Binomial and Poisson Distributions
... Poisson parameter µ , and value ...possible distributions for k successes in n trials of a stochastic process/effect (SP/E) with success probability p; and their trends calculated as np is always the value ...
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On the use of i-vector posterior distributions in Probabilistic Linear Discriminant Analysis
... The results given in Table VI confirm the quality of the our approach for male speakers. Pooled results for female and male speakers are reported in Table VII for the NIST 2012 SRE evaluation experiments described below. ...
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Global sensitivity analysis of parameter uncertainty in landscape evolution models
... of sensitivity analyses in the models and the consequent assessment of model ...of sensitivity anal- ...ative sensitivity of the CAESAR-Lisflood LEM to a set of model parameters by applying the ...
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Parameter sensitivity analysis of a mechanistic model to simulate microalgae growth
... the sensitivity of model outputs with respect to a subset of key input ...as distributions of elementary effects means and standard deviations for each input ...the sensitivity analysis ...
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Regional analysis of parameter sensitivity for simulation of streamflow and hydrological fingerprints
... same parameter sets are applied to all head- water catchments, any regional differences in parameter sen- sitivity originate from differences either in the hydroclimatic or in the physiographic ...of ...
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Parameter sensitivity and uncertainty analysis for a storm surge and wave model
... of probabilistic surge hazard esti- mates is exacerbated by the high dimensionality of numerical surge and wave ...model parameter sen- sitivity analysis of the Delft3D model for the simulation of ...
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Global sensitivity analysis of parameter uncertainty in landscape evolution models
... this analysis suggests that detailed justification and calibration of model choices around sediment transport will lead to the most effective gains in model ...
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When Is a Sensitivity Parameter Exactly That?
... where sensitivity analysis is required come with considerable baked-in intuition: it seems ob- vious which parameters are the sensitivity parameters and which are ...a sensitivity ...
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The parameter sensitivity of random forests.
... is parameter-insensitive, or at least robust to changes from default parameter settings ...exhaustive analysis of the parameter-sensitivity of RFs in two large, representative ...
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PROBABILISTIC SEISMIC HAZARD ANALYSIS: A SENSITIVITY STUDY WITH RESPECT TO DIFFERENT MODELS
... this fault has produced an earthquake with magnitude 6.3. Sites having 1 km, 5 km and 10 km closest distances to fault are selected as shown in Figure 2.14. Site names begin with S and continue with closest distance to ...
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Parameter sensitivity analysis of non-dimensional models of quayside container cranes
... an analysis of dynamic behaviour of the waterside boom, previously identified as the most important structural part of the mega quayside container cranes (QCC) under moving concentrated ...the parameter ...
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Process verification of a hydrological model using a temporal parameter sensitivity analysis
... of sensitivity (Saltelli et ...model parameter values influences the variance of the model output ...other sensitivity analysis methods, TEDPAS uses the direct model output instead of ...
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Sensitivity analysis with respect to observations in variational data assimilation for parameter estimation
... the sensitivity of functionals of the optimal solution of the variational data assimilation problem aimed at the re- construction of unknown parameters of the ...
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Proving expected sensitivity of probabilistic programs
... between distributions without assuming a distance on the sample space, while EpRHL works with distances on the underlying space, proving fundamentally different ...
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