What's new in the last XLSTAT release of the year?
- Naive Bayes now enriches your supervised machine learning algorithms collection. Naive Bayes assumes independence among predictors. It is fast and known to be very accurate in many situations.
- Our PLS Path Modeling tool now includes an interface specially adapted to Marketing and Satisfaction analysis. Among the new available options, you will be able to evaluate the impact of modifying brand image, quality or value on customer satisfaction. PLS-Path Modeling is part of the XLSTAT-Marketing and XLSTAT-Psy solutions.
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.