XLSTAT 2013.4

Addinsoft is proud to announce the release of version 2013.4 that brings several major additions. Two-stage least squares regression (2SLS) is now part of the modeling techniques offered in the Pro. Four outliers tests (Grubbs, Dixon, Cochran, Mandel) and identification techniques have been added, while it is now possible to use Monte Carlo resamplings to obtain a very accurate p-value. The XLSTAT-Conjoint module continues to grow with the addition of new options for simulating markets. Last, the Gray test has been added to the cumulative incidence feature of XLSTAT-Life to allow comparing groups.


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.


💡 How is XLSTAT being used in research? In this paper, discover whether and how straw materials could affect sensor… https://t.co/GqKhmO33P3

☕ How can we split a collection of stone fragments into groups of similar pieces using k-means clustering?… https://t.co/HWTEgA4Og9

🔎 How to deal with missing data? ➡️ NIPALS, MCMC, EM algorithm or Nearest Neighbor: Discover the #XLSTAT methods pr… https://t.co/I5Ia2BOlmf