* Sensitivity analysis – the study of how the variation in the output of a model depends on variations in the inputs

* Sensitivity analysis

Sensitivity analysis analyzes changes in one variable only, which is useful for simple changes, while scenario planning tries to expose policy makers to significant interactions of major variables.

Sensitivity analysis ( SA ) is the study of how the uncertainty in the output of a model ( numerical or otherwise ) can be apportioned to different sources of uncertainty in the model input.

Sensitivity analysis can be useful to computer modelers for a range of purposes, including:

Sensitivity analysis answers the question, " if these variables deviate from expectations, what will the effect be ( on the business, model, system, or whatever is being analyzed )?

Sensitivity analysis can be used

Sensitivity Analysis is common in physics and chemistry, in financial applications, risk analysis, signal processing, neural networks and any area where models are developed.

Sensitivity analysis can also be used in model-based policy assessment studies.

Sensitivity analysis can be used to assess the robustness of composite indicators, also known as indices, such as the Environmental Performance Index.

Sensitivity analysis can help in a variety of other circumstances which can be handled by the settings illustrated below:

Sensitivity analysis has been proven to be a powerful tool to investigate a complex kinetic model.

Sensitivity analysis can be used for optimal experimental design, e. g. determining initial conditions, measurement positions, and sampling time, to generate informative data which are critical to estimation accuracy.

Sensitivity analysis can be used to identify the influential parameters which can be determined from available data while screening out the unimportant ones.

Sensitivity analysis can also be used to identify the redundant species and reactions allowing model reduction.

* Sensitivity Analysis Excel Add-In is a free ( for private and commercial use ) Excel Add-In that allows for simple sample based sensitivity analysis runs

* 200-Design Optimization and Sensitivity analysis

Sensitivity analysis should be conducted in this case.

* Sensitivity analysis

* Sensitivity analysis: A procedure to study the behavior of a system or model when global parameters are ( systematically ) varied.

Uncertainty and Sensitivity Analysis offer valid tools for characterizing the uncertainty associated with a model.

Uncertainty analysis ( UA ) quantifies the uncertainty in the outcome of a model.

Uncertainty arising from different sources — errors in the data, parameter estimation procedure, alternative model structures — are propagated through the model for uncertainty analysis and their relative importance is quantified via sensitivity analysis.

Uncertainty of this type can be quantified with Bayesian analysis.

* Uncertainty analysis