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Business / Math & Scientific Tools / XLSTAT 2021.4
XLSTAT 2021.4
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XLSTAT 2021.4 Description
XLSTAT is a complete data analysis and statistics add-in for Excel. It includes regression (linear, logistic, nonlinear), multivariate data analysis, parametric tests, non parametric tests, ANOVA, ANCOVA, forecasting methods.
XLSTAT is a complete analysis and statistics add-in for Excel. It has been developed since 1993. XLSTAT includes more than 240 features in general or field-specific solutions. The use of Excel as an interface makes XLSTAT a user-friendly and highly efficient statistical and multivariate data analysis package.
It includes regression (linear, logistic, nonlinear), multivariate data analysis (Principal Component Analysis, Discriminant Analysis, Correspondence Analysis, Multidimensional Scaling, Agglomerative Hierarchical Clustering, K-means, K-Nearest Neighbors, Decision trees), correlation tests, parametric tests, non parametric tests, ANOVA, ANCOVA, mixed models and much more. Field-specific solutions allow for advanced multivariate analysis (RDA, CCA, MFA), Preference Mapping and other sensometrics tools, Statistical Process Control, Simulations, Time series analysis, Dose response effects, Survival models, Conjoint analysis, PLS modelling, Structural Equation Modelling, OMICS data analysis... Optional modules include 3D Visualization and Latent Class models.
The XLSTAT statistical analysis software is compatible with all Excel versions from 2003 to 2016. A Mac version is also available on the XLSTAT website, and works on Excel 2011 & 2016.
OS: Windows, Win7 x32, Win7 x64, WinServer, WinXP, Windows 10, Windows 8
System Requirements: Excel 2003 and later
Versions History:
Date Released: | Version: | Change Info: |
2021-10-20 | 2021.4 | MyAssistant - a new learning tool LASSO regression (available in all XLSTAT solutions except Basic) Logistic regression (available in all XLSTAT solutions) MANOVA analysis (available in all XLSTAT solutions) |
Tags: Statistics - Data Analysis - Excel - Forecasting - Add-In - Regression - Principal Components - ANOVA - Mixed Model - General Linear Model - Distribution - Modeling - Descriptive Statistics - Tests - Parametric - Non-Parametric - Time Series - Conjoint - Pls - Omics