QMSys GUM

QMSys GUM

Qualisyst
methodos-basic

methodos-basic

MethodosLab
+
+

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About

The QMSys GUM Software is suitable for the analysis of the uncertainty of physical measurements, chemical analyses and calibrations. The software uses three different methods to calculate the measurement uncertainty. GUF Method for linear models, this method is applied to linear and quasi-linear models and corresponds to the GUM Uncertainty Framework. The software calculates the partial derivatives (the first term of a Taylor series) to determine the sensitivity coefficients of the equivalent linear model and then calculates the combined standard uncertainty in accordance with the Gaussian error propagation law. GUF Method for nonlinear models, this method is provided for nonlinear models with the symmetric distribution of the result quantities. In this method, a series of numerical methods are used, e.g. nonlinear sensitivity analysis, second and third-order sensitivity indices, quasi-Monte Carlo with Sobol sequences.

About

methodos-basic is a desktop statistical analysis application for researchers, students, educators, and professionals who need to work with data through a graphical interface. The guided workflow lets users choose a statistical method, import a dataset, assign variables, run analyses, and review results and charts without writing code. Tutorials explain the application's analysis steps. It is intended for academic and applied use in areas such as social sciences, business, education, and psychology, including users who prefer a step-by-step interface to programming. Users remain responsible for selecting methods that fit their study design and interpreting statistical output in context.

Platforms Supported

Windows Supported
Mac Not Supported
Linux Not Supported
Cloud Not Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Supported
Mac Not Supported
Linux Not Supported
Cloud Not Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Companies searching for a solution to analyze the uncertainty of physical measurements

Audience

Researchers, graduate students, university professors, academic institutions, educators, data analysts, and professionals in social sciences, business, education, psychology, and other fields who need accessible statistical analysis tools. MethodosBasic is especially suitable for users who find statistical analysis difficult and prefer a guided, step-by-step approach without programming.

Support

Phone Support Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Not Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

No images available

Pricing

No information available.
Free Version Not Supported
Free Trial Supported

Pricing

No information available.
Free Version Not Supported
Free Trial Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Qualisyst
Founded: 1994
Bulgaria
www.qsyst.com/qualisyst_en.htm

Company Information

MethodosLab
Founded: 2026
South Korea
methodos-lab.vercel.app/

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Categories

Categories

Statistical Analysis Features

Analytics Supported
Association Discovery Supported
Compliance Tracking Supported
File Management Not Supported
File Storage Supported
Forecasting Not Supported
Multivariate Analysis Supported
Regression Analysis Supported
Statistical Process Control Not Supported
Statistical Simulation Supported
Survival Analysis Not Supported
Time Series Not Supported
Visualization Supported

Integrations

No info available.

Integrations

No info available.
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