A parametric analysis, also known as a sensitivity analysis, is the study of the influence of different geometric or physical parameters or both on the solution of the problem. ... The analysis scenario can be single or multi-parametric including the parameter time, and/or geometric or physical parameters.
How do you do a parametric study?
A parametric study requires the following:
- Design Objective is set to Parametric Dimensions.
- Parameters nominated for use in the simulation.
- Parameter ranges identified.
- Design criteria specified.
- Various configurations generated.
What are examples of parametric tests?
Parametric tests are used only where a normal distribution is assumed. The most widely used tests are the t-test (paired or unpaired), ANOVA (one-way non-repeated, repeated; two-way, three-way), linear regression and Pearson rank correlation.
