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The sensitivity of sensitivity analysis
Political Science Research and Methods, 2018AbstractThis article evaluates the reliability of sensitivity tests. Using Monte Carlo methods we show that, first, the definition of robustness exerts a large influence on the robustness of variables. Second and more importantly, our results also demonstrate that inferences based on sensitivity tests are most likely to be valid if determinants and ...
Plümper, Thomas, Traunmüller, Richard
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Sensitivity Analysis for Oscillators
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2007This paper presents an analysis for calculating sensitivities of an oscillator's periodic steady state and perturbation projection vector to design, process, or environmental parameters. A general continuous-time formulation and time-domain numerical methods are described.
Igor Vytyaz +4 more
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The role of sensitivity analysis in the building performance analysis: A critical review
, 2020A building system is highly nonlinear and commonly includes a variety of parameters ranging from the architectural design to the building mechanical and energy system.
Zhihong Pang +3 more
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2023
A primary activity in operations research and the management sciences is the creation of quantitative models to support decision making. They can be optimization models, simulators, or machine learning tools fitted to available data. Often, the sophistication of the modeling exercise forces analysts to create complex architectures.
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A primary activity in operations research and the management sciences is the creation of quantitative models to support decision making. They can be optimization models, simulators, or machine learning tools fitted to available data. Often, the sophistication of the modeling exercise forces analysts to create complex architectures.
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Thermo-economic performance and sensitivity analysis of ternary hybrid nanofluids
, 2020The thermo-economic performance of the Al2O3-TiO2-Cu/water ternary hybrid nanofluid was investigated experimentally. The shear stress, viscosity, and thermal conductivity were measured at 0.005–1 vol% over temperature range of 20–60 °C.
Zi-Hao Xuan +4 more
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Sensitivity analysis of neocognitron
IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews), 1999Fukushima's (1988; 1989; 1992; 1993) neocognitron model is well-known for its performance in visual pattern recognition. Through a training process, the visual pattern information is stored in a form of numerical weights in memory. When the model is actually implemented in hardware, weight errors and input noises caused by hardware imprecision and ...
A. Y. Cheng, Daniel S. Yeung
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2009
Sensitivity analysis is a mathematical technique for investigating the effects of inaccuracies in the parameters of a mathematical model. It analyses how variation in the output of a model (numerical or otherwise) can be apportioned qualitatively or quantitatively to different sources of data. Sensitivity analysis is an important statistical validation
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Sensitivity analysis is a mathematical technique for investigating the effects of inaccuracies in the parameters of a mathematical model. It analyses how variation in the output of a model (numerical or otherwise) can be apportioned qualitatively or quantitatively to different sources of data. Sensitivity analysis is an important statistical validation
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Advances in sensitivity analysis
Reliability Engineering & System Safety, 2012Abstract This editorial presents the content of the special issue Advances in Sensitivity Analysis that follows the Sixth International Conference on Sensitivity Analysis of Model Output (SAMO 2010). The special issue highlights the state of the art in a field which is rapidly growing and whose importance is more and more recognized by the scientific
Emanuele Borgonovo, Stefano Tarantola
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An Approach to Sensitivity Analysis
Journal of the Operational Research Society, 1975This paper constructs an approximate theory of Sensitivity Analysis in Linear Programmes. This theory allows small (independent or interrelated) changes in any or all of the coefficients of a LP with the ensuing construction of a feasible risk region within which the present basic set of variables does not change.
Flavell, R., Salkin, G. R.
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Sensitivity analysis of performability
Performance Evaluation, 1992Summary: An analytical expression is provided to evaluate the sensitivity (i.e. the derivative with respect to a system parameter) of the cumulative reward distribution for systems modeled by homogeneous Markov reward processes. Both transition rates and reward rates are assumed to be function of the system parameter.
Vincenzo Grassi, Lorenzo Donatiello
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