XLSTATLumivero
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Related Products
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About
Transform your data analysis with XLSTAT — the ultimate statistics software that more than 150,000 users across 120+ countries rely on! With XLSTAT, you can easily explore, predict, visualize, customize, and share your results without ever leaving Microsoft Excel. And with advanced features devoted to sensory analysis, marketing, life sciences, and quality, XLSTAT lets you unlock the full potential of your data from day one.
XLSTAT is a powerful yet flexible Excel data analysis add-on that allows users to analyze, customize and share results within Microsoft Excel. With over 240 standard to advanced statistical features available, XLSTAT is the preferred tool for statistical analysis in businesses and universities, large and small, and for 100,000+ users in over 120 countries across the world.
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About
statsmodels is a Python module that provides classes and functions for the estimation of many different statistical models, as well as for conducting statistical tests and statistical data exploration. An extensive list of result statistics is available for each estimator. The results are tested against existing statistical packages to ensure that they are correct. The package is released under the open-source Modified BSD (3-clause) license. statsmodels supports specifying models using R-style formulas and pandas DataFrames. Have a look at dir(results) to see available results. Attributes are described in results.__doc__ and results methods have their own docstrings. You can also use numpy arrays instead of formulas. The easiest way to install statsmodels is to install it as part of the Anaconda distribution, a cross-platform distribution for data analysis and scientific computing. This is the recommended installation method for most users.
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Platforms Supported
Windows
Supported
Mac
Supported
Linux
Not Supported
Cloud
Not Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Supported
Mac
Supported
Linux
Supported
Cloud
Not Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Addinsoft tools are the preferred for statistical analysis in businesses and universities, large and small, and for 150,000+ users in over 120 countries across the world.
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Audience
Users and anyone in search of a solution to calculate the estimation of many different statistical models
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Support
Phone Support
Supported
24/7 Live Support
Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Not Supported
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API
Offers API
Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
$275.00/year/user
Free Version
Supported
Free Trial
Supported
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Pricing
Free
Free Version
Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Supported
Live Online
Supported
In Person
Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Company InformationLumivero
Founded: 1995
United States
lumivero.com/products/xlstat/
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Company Informationstatsmodels
www.statsmodels.org/stable/index.html
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Categories |
Categories |
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SPC Features
Corrective Actions (CAPA)
Not Supported
Data Entry
Supported
Data Linking
Supported
Data Management
Supported
Excel Loader
Supported
Job Management
Not Supported
OPC Data Collection
Not Supported
Performance Metrics
Not Supported
Point-of-Production Analysis
Not Supported
Real Time Data Collection
Not Supported
Regulatory Compliance
Not Supported
Statistical Analysis Features
Analytics
Supported
Association Discovery
Supported
Compliance Tracking
Supported
File Management
Not Supported
File Storage
Supported
Forecasting
Supported
Multivariate Analysis
Supported
Regression Analysis
Supported
Statistical Process Control
Supported
Statistical Simulation
Supported
Survival Analysis
Supported
Time Series
Supported
Visualization
Supported
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Integrations
Anaconda
Not Supported
Python
Not Supported
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