Keyword: sensitivity analysis

Found 53 papers in total
On the use of conservatism in risk assessments
On the use of conservatism in risk assessments
2016,
The paper clarifies the meaning of conservatism in risk assessments. It is shown that...
Structural optimisation and analysis of internally heat integrated reactive distillation column
Structural optimisation and analysis of internally heat integrated reactive distillation column
2015,
In this contribution, the model for hydrolysis of methyl acetate (MeAc)...
Post-optimal Analysis for Markowitz's Multicriteria Portfolio Optimization Problem
Post-optimal Analysis for Markowitz's Multicriteria Portfolio Optimization Problem
2014,
We formulate a multicriteria discrete variant of well‐known Markowitz's...
Signal processing evaluation of myoelectric sensor placement in low-level gestures: sensitivity analysis using independent component analysis
Signal processing evaluation of myoelectric sensor placement in low-level gestures: sensitivity analysis using independent component analysis
2014,
Surface electromyogram (sEMG) is a technique in which electrodes are placed on the...
Sensitivity analysis of graphical functions
Sensitivity analysis of graphical functions
2014,
Despite high degrees of uncertainty associated with graphical functions, sensitivity...
Are we using the wrong letters? An analysis of executive stock option Greeks
Are we using the wrong letters? An analysis of executive stock option Greeks
2014,
Greek letters, in particular delta and vega based on the Black–Scholes model...
An effective approximation for variance-based global sensitivity analysis
An effective approximation for variance-based global sensitivity analysis
2014,
The paper presents a fairly efficient approximation for the computation of...
Regional sensitivity analysis using revised mean and variance ratio functions
Regional sensitivity analysis using revised mean and variance ratio functions
2014,
The variance ratio function, derived from the contribution to sample variance (CSV)...
Construction of bootstrap confidence intervals on sensitivity indices computed by polynomial chaos expansion
Construction of bootstrap confidence intervals on sensitivity indices computed by polynomial chaos expansion
2014,
The proposed methodology combines advantages of sparse polynomial chaos expansion with...
Sensitivity analysis in data envelopment analysis
Sensitivity analysis in data envelopment analysis
2014,
Data envelopment analysis (DEA) is a non‐parametric technique and...
Structural and sensitivity reanalyses based on singular value decomposition
Structural and sensitivity reanalyses based on singular value decomposition
2013,
The structural and sensitivity reanalysis of a structure subjected to modifications...
Sensitivity analysis for a Lagrange dual problem to a vector optimization problem
Sensitivity analysis for a Lagrange dual problem to a vector optimization problem
2013,
In this paper, sensitivity analysis for a Lagrange dual problem to a vector...
Vertical disintegration and training: evidence from a matched employer–employee survey
Vertical disintegration and training: evidence from a matched employer–employee survey
2012,
The mechanism through which outsourcing favourably impacts on workplace performance,...
A new robustness analysis for climate policy evaluations: A CGE application for the EU 2020 targets
A new robustness analysis for climate policy evaluations: A CGE application for the EU 2020 targets
2013,
This paper introduces a new method for stochastic sensitivity analysis for computable...
Monte Carlo sensitivity analysis of an Eulerian large‐scale air pollution model
Monte Carlo sensitivity analysis of an Eulerian large‐scale air pollution model
2012,
Variance‐based approaches for global sensitivity analysis have been applied and...
Structure and sensitivity analysis of individual‐based predator–prey models
Structure and sensitivity analysis of individual‐based predator–prey models
2012,
The expensive computational cost of sensitivity analyses has hampered the use of these...
An adaptive correlation ratio method using the cumulative sum of the reordered output
An adaptive correlation ratio method using the cumulative sum of the reordered output
2012,
We consider correlation ratios as estimators for first order sensitivity indices from...
Bias correction for the estimation of sensitivity indices based on random balance designs
Bias correction for the estimation of sensitivity indices based on random balance designs
2012,
This paper deals with the random balance design method (RBD) and its hybrid approach,...
Reprint of: Production scheduling of a lignite mine under quality and reserves uncertainty
Reprint of: Production scheduling of a lignite mine under quality and reserves uncertainty
2012,
The effect of uncertainty sources to the stochastic optimization of the combined...
A maintenance optimization model for mission‐oriented systems based on Wiener degradation
A maintenance optimization model for mission‐oriented systems based on Wiener degradation
2013,
Over the past few decades, condition‐based maintenance (CBM) has attracted many...
Type II sensitivity analysis of cost coefficients in the degenerate transportation problem
Type II sensitivity analysis of cost coefficients in the degenerate transportation problem
2013,
This paper focuses on sensitivity analysis of the degenerate transportation problem...
Global sensitivity measures from given data
Global sensitivity measures from given data
2013,
Simulation models support managers in the solution of complex problems. International...
Derivatives of the Efficient Point Multifunction in Parametric Vector Optimization Problems
Derivatives of the Efficient Point Multifunction in Parametric Vector Optimization Problems
2013,
In this paper, we deal with the sensitivity analysis in vector optimization. More...
Expériences with Stochastic Algorithms fir a class of Constrained Global Optimisation Problems
Expériences with Stochastic Algorithms fir a class of Constrained Global Optimisation Problems
2000,
The solution of a variety of classes of global optimisation problems is required in...
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