XLSTAT

 

 

New version 2020.1.1

XLSTAT 2020.1 is now available! What’s new? 

A smart predictive tool that:

  • Identifies the appropriate models depending on your data type
  • Performs a comparison of the fitted models
  • Makes predictions of new observations

Discover this feaure under the XLSTAT.ai menu.

  • ANOVA (available in all XLSTAT solutions)

Our algorithm was optimized leading to a significant decrease in computational time. Run an ANOVA on large data sets including post hoc tests in just a few seconds. In addition, the Restricted ANOVA has been implemented. This model is useful when we have an interaction between a fixed factor and a random factor and assume that the sum of the interaction effects on the levels of the fixed factor is zero.

This feature is accessible under the Modeling data menu.  

It is now possible the split your data set into a training and a validation sample in order to confirm the fitted model. Available under the Machine learning menu.

The p-values of Fisher's exact test of independence are now displayed per cell of the contingency table. Available under the Association tests menu.

Free Sorting tests are commonly used for the sensory characterization of products. Data obtained from such studies can be analyzed using our new feature with methods such as STATIS, MCA and CA. Access this feature under the Sensory data analysis menu.

Dynamic designs have been added to allow users to determine the best levels of control factors in order to improve the relationship between signal factors and output responses. A new option for adding interactions to the model is also available. This feature is available under the Designs of Experiments menu.

  • MANAGE ARCHIVED FILES TOOL (all XLSTAT solutions)

Automatically back-up your XLSTAT analyses and load previously saved files. This new tool is still in beta testing and is only available for Windows. Discover it under the Tools XLSTAT menu.

 

What's new in 2019.4?

Demšar Significance Diagram (all XLSTAT solutions)

Use the Demšar graph, also called Critical Differences plot, to visualize pairwise differences after performing a Friedman test followed by a post-hoc procedure. This feature can be found under the Visualizing data XLSTAT menu. 

 

Latent Semantic Analysis (XLSTAT Marketing and Premium)

Often used in document classification or cross language retrieval, this text mining tool will help you to discover hidden semantics of words from a large set of documents. LSA uses a document-term matrix as input data which can be generated through the XLSTAT Feature Extraction. This feature is accessible under the Text mining XLSTAT menu. 

 

Customer Long-term value (XLSTAT Marketing and Premium)

Understand your customers life cycle, identify periods of high churn risk, and estimate the profits generated by your customers over an extended time period. Here, compared to the classic CLV model, the retention rate varies over time and cash flows depend on the time of cancelation. Accessible under the Marketing Tools XLSTAT menu.

 

Taguchi experimental designs (XLSTAT Quality, Life Sciences and Premium)

Taguchi method is a popular engineering technique to optimize processes and improve the quality of products. It provides an improvement to full and fractional factorial designs. XLSTAT offers to study three parameters: the signal to noise ratios, the means and the standard deviations of the measured attributes. 

 Design of sensory discrimination tests (XLSTAT Sensory and Premium)

Our algorithm used to generate designs of sensory discimination tests (e.g. triangle, tetrad, etc) has been revised and improved. An optimal design can be now achieved.

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