2017
DOI: 10.1360/sspma2016-00516
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A review of global sensitivity analysis for uncertainty structure

Abstract: Parametric sensitivity analysis of precipitation and temperature based on multi-uncertainty quantification methods in the Weather Research and Forecasting model SCIENCE CHINA Earth Sciences 60, 876 (2017); The CDF and its sensitivity analysis of stochastic structure with stochastic excitation by advanced stratified line sampling

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Cited by 4 publications
(4 citation statements)
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“…x 1 ∼ N 9.9, 5 2 . This example has been studied by Kaymaz [22]. The contribution indexes of samples of four methods, i.e., MCS, IS, LS and SS, are computed and the results are given in Tab.…”
Section: Example 2: Nonlinear Examplementioning
confidence: 99%
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“…x 1 ∼ N 9.9, 5 2 . This example has been studied by Kaymaz [22]. The contribution indexes of samples of four methods, i.e., MCS, IS, LS and SS, are computed and the results are given in Tab.…”
Section: Example 2: Nonlinear Examplementioning
confidence: 99%
“…Recently, the joint use of simulation methods and surrogate model methods, which is called 'active learning method', has been proposed, i.e., Kriging model with MCS [16], Kriging with IS [17] and Kriging with SS [18,19]. Also, the sensitivity analysis for variables has been attracted more and more attentions [20][21][22][23][24][25][26][27][28]. Sensitivity analysis can help researchers to identify the main factors affecting the uncertainty of the output response of a model [21,22] .…”
Section: Introductionmentioning
confidence: 99%
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“…Moreover, the moment‐independent sensitivity index has an invariance of transformation, which means the transformed moment‐independent index is unchanged. This property ensures that the moment‐independent sensitivity index can be solved efficiently when the distribution of the model output variables spans several orders of magnitude . Moment‐independent sensitivity analysis has been implemented, and the influence of parameter correlation has been addressed.…”
Section: Introductionmentioning
confidence: 99%