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To execute variance based global sensitivity analysis efficiently and purposefully, a computing methodology containing two covariance methods is proposed. The first method estimates sensitivity indices by making full use of a sampling matrix and a re-sampling matrix. The second one is proposed for compensating the systematic error of the first method. Sources of error of the two methods become clear...
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