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What is XLfit?

XLfit® is an innovative add-in for Microsoft® Excel, tailored for Windows users, which seamlessly incorporates advanced mathematical and statistical analysis within the well-known Excel interface, all while offering powerful charting capabilities. Esteemed as a leading tool for statistical analysis and curve fitting, XLfit is relied upon by prominent organizations in the pharmaceutical, chemical, and engineering industries, as well as in academic research, and has received validation from the National Physical Laboratory (NPL). The software provides access to an extensive library of more than 70 pre-defined models that cater to both linear and nonlinear curve fitting, addressing the experimental demands of drug discovery and similar sectors. Beyond the standard offerings, XLfit also supports the inclusion of an infinite number of custom user-defined models, allowing for even greater flexibility. It features advanced capabilities such as linear and nonlinear modeling along with interactive charting in both 2D and 3D, making it an indispensable tool for scientists. Furthermore, XLfit's wide-ranging tools enable researchers to efficiently analyze, visualize, and interpret their data, enhancing their scientific endeavors. With its user-friendly design and extensive functionalities, XLfit stands as a vital asset for anyone engaged in complex data analysis.

What is QMSys GUM?

The QMSys GUM Software is specifically developed to evaluate the uncertainty associated with physical measurements, chemical analyses, and calibration procedures. It offers three unique methods to calculate measurement uncertainty. The first method, GUF Method for linear models, is focused on linear and quasi-linear structures, adhering to the GUM Uncertainty Framework. This method calculates partial derivatives that represent the initial terms of a Taylor series, which helps in determining sensitivity coefficients for the equivalent linear model, and subsequently uses the Gaussian error propagation law to find the combined standard uncertainty. The second method, GUF Method for nonlinear models, is tailored for nonlinear scenarios where the outcomes show a symmetric distribution, using various numerical strategies such as nonlinear sensitivity analysis and higher-order sensitivity indices, along with quasi-Monte Carlo simulations that apply Sobol sequences. By incorporating these diverse methodologies, the software equips users with extensive tools for performing thorough uncertainty analysis in various measurement situations, ensuring robustness and precision in their results. Additionally, it enhances decision-making processes by providing clear insights into the levels of uncertainty involved.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

IDBS

Date Founded

1989

Company Location

United Kingdom

Company Website

www.idbs.com/xlfit/

Company Facts

Organization Name

Qualisyst

Date Founded

1994

Company Location

Bulgaria

Company Website

www.qsyst.com/qualisyst_en.htm

Categories and Features

Statistical Analysis

Analytics
Association Discovery
Compliance Tracking
File Management
File Storage
Forecasting
Multivariate Analysis
Regression Analysis
Statistical Process Control
Statistical Simulation
Survival Analysis
Time Series
Visualization

Categories and Features

Statistical Analysis

Analytics
Association Discovery
Compliance Tracking
File Management
File Storage
Forecasting
Multivariate Analysis
Regression Analysis
Statistical Process Control
Statistical Simulation
Survival Analysis
Time Series
Visualization

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