How to Calculate Allowable Decrease in Sensitivity Analysis
Sensitivity analysis is a crucial step in model validation and uncertainty quantification. Calculating the allowable decrease in sensitivity is essential to ensure the model’s performance remains acceptable under varying conditions.
- Enter the initial sensitivity value.
- Enter the desired sensitivity value.
- Select the confidence level.
- Click ‘Calculate’.
The formula for calculating the allowable decrease in sensitivity is:
Allowable Decrease = (Initial Sensitivity - Desired Sensitivity) * (1 - (1 - Confidence Level)^(1/(Number of Parameters - 1)))
| Method | Advantages | Disadvantages |
|---|---|---|
| One-at-a-time | Simple to implement | Does not account for parameter interactions |
| Efficient Global | Accounts for parameter interactions | More complex to implement |
- Always validate your model before performing sensitivity analysis.
- Consider using global sensitivity analysis methods for complex models.
- Document all assumptions and limitations of your analysis.
What is sensitivity analysis?
Sensitivity analysis is a technique used to quantify the effect of changes in model inputs on model outputs.
Why is it important to calculate the allowable decrease in sensitivity?
Calculating the allowable decrease in sensitivity helps ensure that the model’s performance remains acceptable under varying conditions.
Learn more about sensitivity analysis from the U.S. Environmental Protection Agency
Explore sensitivity analysis techniques from the University of California, Berkeley