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 short course delivered online will show consumer scientists how to use partial least squares in XLSTAT for relating consumer acceptability to sensory/analytic measures.
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.
This webinar presents the principles of Supervised Machine Learning & Prediction, with demos using the XLSTAT data analysis software. May 5, 2020 5:00 PM - 6:00 PM CEST