Ratings and Reviews 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • Pipefy Reviews & Ratings
    4.6 out of 5 stars 594 Ratings
    Company Website for Pipefy
  • RaimaDB Reviews & Ratings
    4.8 out of 5 stars 12 Ratings
    Company Website for RaimaDB
  • NaviPlan Reviews & Ratings
    Company Website for NaviPlan
  • AuctionMethod Reviews & Ratings
    4.9 out of 5 stars 43 Ratings
    Company Website for AuctionMethod
  • STACK Reviews & Ratings
    4.5 out of 5 stars 1,496 Ratings
    Company Website for STACK
  • Innoslate Reviews & Ratings
    4.5 out of 5 stars 98 Ratings
    Company Website for Innoslate
  • KonstructIQ Reviews & Ratings
    4.8 out of 5 stars 7 Ratings
    Company Website for KonstructIQ
  • TrustInSoft Analyzer Reviews & Ratings
    4.3 out of 5 stars 6 Ratings
    Company Website for TrustInSoft Analyzer
  • Fixed Asset Pro Reviews & Ratings
    4.5 out of 5 stars 215 Ratings
    Company Website for Fixed Asset Pro
  • Secure Eraser Reviews & Ratings
    5.0 out of 5 stars 15 Ratings
    Company Website for Secure Eraser

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.

What is ASReml?

ASReml-SA is a sophisticated statistical software specifically designed for mixed models, employing Residual Maximum Likelihood (REML) for efficient parameter estimation. Its linear mixed-effects models are a powerful and adaptable resource for analyzing diverse datasets, commonly found in sectors such as animal, plant, and aqua breeding, along with agriculture, environmental sciences, and medical research. The latest iteration, ASReml-SA 4.2, features triple the memory capacity of version 4.1, allowing for the processing of much larger datasets without difficulty. Moreover, it has been enhanced for greater speed through the integration of parallel processing capabilities and focused memory allocation for various tasks, leading to significant performance gains. Users can refer to a comparison table that highlights the various speed improvements across different analyses. In addition to boosting processing speed, ASReml-SA 4.2 aims to deliver a more streamlined experience for its users. Nonetheless, the degree of these speed enhancements may vary due to numerous factors, such as the type of microprocessor in use, the machine's overall power, the dataset's size and characteristics, and the specific analyses performed. Consequently, users should consider these variables when evaluating the software's performance for their specific needs.

Media

Media

Integrations Supported

Integrations Supported

ActiveScale

API Availability

API Availability

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

Windows

Supported Platforms

Windows

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

Qualisyst

Date Founded

1994

Company Location

Bulgaria

Company Website

www.qsyst.com/qualisyst_en.htm

Company Facts

Organization Name

VSN International

Date Founded

2000

Company Location

United Kingdom

Company Website

www.vsni.co.uk

Categories and Features

Statistical Analysis

Analytics
Association Discovery
Compliance Tracking
File Storage
Multivariate Analysis
Regression Analysis
Statistical Simulation
Visualization

Categories and Features

Statistical Analysis

Association Discovery
Compliance Tracking
File Storage
Statistical Simulation

Popular Alternatives

MCM Alchimia Reviews & Ratings

MCM Alchimia

Alchimia Software

Popular Alternatives

QMSys GUM Reviews & Ratings

QMSys GUM

Qualisyst
ChemStat Reviews & Ratings

ChemStat

Starpoint Software
Analytic Solver Reviews & Ratings

Analytic Solver

Frontline Systems
Analyse-it  Reviews & Ratings

Analyse-it

Analyse-it Software
Solver SDK Reviews & Ratings

Solver SDK

Frontline Systems
methodos-basic Reviews & Ratings

methodos-basic

MethodosLab
MATLAB Reviews & Ratings

MATLAB

The MathWorks
4.7 out of 5 stars