Summary
Selection of entries in the other tabs. Importantly, this tab informs us about the price of the design.
Selection of entries in the other tabs. Importantly, this tab informs us about the price of the design.
The content on this tab refer to qualities of the design matrix. For example, there is information on the factors, the number of runs, is the design is foldover, etc.
This tab contains a colormap on correlations with individual absolute correlations between the effects in a full second-order effects model, together some averages and maximum values that appear on it.
This tab displays the efficiencies for the models that are estimable.
We look at the designs from different angles in what respect to the power calculation. some of the powers we present here are not present in any other commercial software. Here you will find detailed information on how we calculate them.
While a design may not allow the estimation of a full second-order effects model, it may allow the estimation of a large subset of the effects, so that it is suitable for a screening + optimization experiment at the same time.
When a certain model is estimable, we can obtain statistical quality indicators that gives us information on the power to estimate each effect in the model, the variance inflation factor of each estimate in the model, or the relative error of estimation of each individual effect.
Page last modified on 26 February 2025