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sensitivity analysis provides

sensitivity analysis provides

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Sensitivity analysis provides a measure of the sensitivity of either parameters, forcing functions, or submodels. It is a powerful tool for systematic evaluation of mathematic models and for examining issues regarding all the uncertainties in model structure, or in input or parameter values.

Sensitivity analysis indicates the sensitivity of simulation to uncertainties in the input values of the model and helps in taking informed and appropriate decisions.

One can calculate the sensitivity by dividing the percentage change in output by the percentage change in input.

It is a method for predicting the outcome of a decision if a situation turns out to be different compared to the key predictions. There are methods to carry out the sensitivity analysis are Modeling and simulation techniques and Scenario management tools through Microsoft excel.

Two approaches to analyzing sensitivity are Local Sensitivity Analysis and Global Sensitivity Analysis.

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