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The importance of each independent variable on the response was investigated by using sensitivity analysis.
The effect of these parameters on damage potential is investigated by using sensitivity analysis and probabilistic techniques.
Moreover the developed model offers the chance to estimate the most important influence parameters and their impacts on different treatment processes by using sensitivity analysis.
A clear insight into the dependent relationships involved in the preference ranking order of fuzzy and crisp TOPSIS with regard to certain attributes is provided by using sensitivity analysis.
It is therefore important for hydrologists to identify the dominant parameters controlling model behavior by using sensitivity analysis, which also helps to better understand the model structure, the main sources of model output uncertainty, and the identification issues (Ratto et al., [2007]).
When the degree of statistical heterogeneity was greater than this threshold, we investigated possible explanations by using sensitivity analysis.
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The authors proposed methods to determine a minimum sample size followed by an exploration model parameters using sensitivity analysis.
Fig. 16 Cost optimization using sensitivity analysis.
f) The above-mentioned analysis uses sensitivity analysis.
The results reveal that, by using global sensitivity analysis, the parameters could be ranked with respect to their importance, including first order indices and total sensitivity indices.
Finally, the most influential random variables on flutter reliability of suspension bridges are identified by using a sensitivity analysis.
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by using image analysis
by using hyperlink analysis
by using exergy analysis
by using morphology analysis
by using sensitivity inter-rater
by using sensitivity insulin
by using factor analysis
by using sensitivity sensitivity
by using gait analysis
by using cluster analysis
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by using correlation analysis
by conducting sensitivity analysis
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