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Global sensitivity indices for sensitivity analysis of model output are usually estimated by Monte Carlo or quasi-Monte Carlo methods. In this paper, the bias in sensitivity indices produced by random errors in model evaluation is studied.

On Global Sensitivity Indices: Monte Carlo Estimates Affected by Random Errors