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Understanding Sensitivity Analysis by jia jia is a document available to read on EtoBox.

Sensitivity analysis is used to determine how changes in independent variables impact dependent variables. It involves varying inputs one at a time or through combinations to observe changes in outputs. Key techniques include local sensitivity analysis using derivatives, global sensitivity analysis using Monte Carlo simulations, and factorial analysis. Sensitivity analysis helps with decision-making, risk assessment, and identifying important variables.

Author
jia jia
Language
EN