Addinsoft announces version 2010.4, a major upgrade with new features for XLSTAT-Pro, XLSTAT-MX, XLSTAT-Time, XLSTAT-Sim, and XLSTAT-PLSPM.
In XLSTAT-Pro, the multiple comparisons performed after fitting mixed models can now be computed using adjusted p-values.
A design of experiment feature has been added to XLSTAT-MX to allow quickly building efficient designs to collect data for sensory expirements.
Homogeneity tests have been added to XLSTAT-Time to allow detecting a change-point in a time series (Pettitt, SNHT, Buishand and von Neumann tests).
The interface of XLSTAT-Sim has been improved to make it easier to build and run Monte Carlo models.
XLSTAT-PLSPM now includes the REBUS algorithm to cluster observations while fitting the models.
This module focuses on Analysis of Variance, but this technique makes assumptions about the underlying distributions in our data
This course covers the excellent features in XLSTAT for investigating, visualising and modelling data sets with measurements on many variables.
This short course delivered online will show consumer scientists how to set up and learn about the routines available in XLSTAT for relating consumer acceptability to sensory/analytic measures.