XLSTAT version 2018.1
XLSTAT version 2018.1 is available for download! What's new?
- Random Forests: This powerful machine learning algorithm allows you to make predictions based on multiple decision trees. It works for both classification and regression tasks. The method implements CART binary decision trees. Available in all XLSTAT solutions under the Machine Learning menu.
- Proportional Hazards Model with interval censored data: A regression approach for modeling survival times using interval-censored data. Both quantitative and qualitative explanatory variables can be taken into account. This new feature is available in our XLSTAT Life Sciences, and XLSTAT Premium solutions.
- Correlation tests: New options are available for sorting (BEA or FPC method) and filtering (using R2) variables, and a more ergonomic way to display correlation matrices as an image.The above options can be accessed in all XLSTAT solutions in the Correlation tests dialog box.
- XLSTAT Designer: Design your own customized statistical applications in Excel based on XLSTAT features. Ideal for those who want to create tailored applications which precisely match their teaching program or business needs and hand them over to their students or colleagues. Available in all XLSTAT solutions, the XLSTAT Designer can be found in XLSTAT’s main menu (PC only).
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 use partial least squares in XLSTAT for relating consumer acceptability to sensory/analytic measures.
📃 Have you read our latest statistical test guide? ⏩ Get help choosing an appropriate test depending on the situa… https://t.co/S7SXq4rkoP
📃 Should we wash our hands during chicken preparation? ⏩ ANOVA on washing hands with soap for various durations was… https://t.co/yW8Gjf9S4X