New Version - Origin 2017

Get to know the new features and improvements in this latest version.

XLSTAT version 2016.7 is on the market!

The new version 2016.7 from XLSTAT brings changes in the two-sample t-test & z-test, MaxDiff analysis, discrimination test and distribution adjustment

Loglinear Variance Models for the Analysis of DoE-Data

Non-constant variance in residuals of your DoE might not be a problem but a chance. While the standard approach for the analysis of DoE-data is OLS-regression and assumes constant variance for your residuals, other approaches are more flexible. In this blog-post we will discuss loglinear variance models. These allow to model dependencies between residual variance and factors. This way we are not only able to get valid models in presence of non-constant variance of residuals, but even better: We can learn about the underlying mechanisms impacting the variance of the process.