Software Name:
XLSTAT
Version: 2022.4.5
Category: Business
Date Listed/Updated: 2023-01-20 10:16:14
File size: 224606 KB
OS: Win2000,WinXP,Win7 x32,Win7 x64,Windows 8,Windows 10,WinServer,WinOther,WinVista,WinVista x64
License: Other Price($): 295
Author/Publisher name: XLSTAT CONTACT
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Description: 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.
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Tags: Statistics Data analysis Excel Forecasting Add-in Regression Principal components ANOVA mixe
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Press release from the publisher:With its 240+ statistical features and user-friendly interface, XLSTAT is the leading statistical software solution for Microsoft Excel.
XLSTAT version 2020.5.1 is available for download!
Discover our latest features and options:
CLUSCATA
A new method for clustering judges based on their perceptions of products is available. Adapted for CATA experiments.
CATARACT
A new procedure which evaluates the quality of Check All That Apply data has been integrated in the CATA analysis feature.
Classification & Regression Trees
It is now possible to automatically detect the optimal tree settings using K-fold cross validation.
Nonlinear Regression Models
Confidence and predictions interval curves plus four enzyme kinetic equations have been added.
Missing-data Imputation
New techniques have been implemented such as the EM algorithm for dealing with quantitative missing data.
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Software from the publisher:XLSTAT,