Version 2015.6

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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.

Últimos eventos

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.

Últimos tweets

🗓️ L'équipe française d'@Addinsoft participe à la #conférence PROGEDO pour la semaine DATA SHS organisée par la Ma… https://t.co/ZgML5bsgFU

🧑‍💻 Join us — learn #statistics and multivariate analysis with our #XLSTAT#training program led by Jean-Paul Maalo… https://t.co/vZ8830CHos

🔎 Are you new to #XLSTAT? 🧑🏼‍💻 Start your learning experience now with our new My Assistant interface! This helpfu… https://t.co/QrTF7EUvVm