Download qmsys gum enterprise
Author: t | 2025-04-24
QMSYS GUM Enterprise Download. Downloading QMSYS GUM Enterprise 4.7. The QMSys GUM Software is suitable for the analysis of the uncertainty of physical measurements
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Downloading QMSYS GUM Enterprise 4.7The 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 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. The additional influences, such as non-linear relationships, correlations, distribution type or interaction of the input quantities, are also taken into account when calculating the uncertainty contributions. The results obtained with this method coincide with the analytical method remarkably closely. - Monte-Carlo Method - this method is described in the first supplement to GUM and for many calculations of the uncertainty is the only appropriate method, since the equations of the model are often not linear. In the Monte Carlo technique a suitable distribution is attributed to each input quantity. --> To start download, click the following link: Download Link 1 Report Link Error | Back to QMSYS GUM Enterprise Details page Popular software of Business & Finance, Business Finance. QMSYS GUM Enterprise Download. Downloading QMSYS GUM Enterprise 4.7. The QMSys GUM Software is suitable for the analysis of the uncertainty of physical measurements QMSYS GUM Educational; QMSYS GUM Enterprise; QMSYS GUM Professional; QMSys GUM Standard; QMSYS Threads; QMSYS Threads and Gauges; QMSys Tolerances and Fits; GUM Enterprise / Professional / Standard / Excel Add-In / MU-Calculator web: www.qsyst.com . email: . QMSys GUM Software . Tools for Measurement Uncertainty Analysis . Software editions: QMSys GUM Enterprise QMSys GUM Professional QMSys GUM Standard QMSys GUM Excel Add-In QMSys GUM Uncertainty Calculator Virus-free and 100% clean download. Get QMSys GUM Standard alternative downloads. System Utilities; QMSYS GUM Enterprise. Science Tools. QMSYS GUM Educational. MB Nicotine Dependency CalculatorMB Nicotine Dependency Calculator helps you know your level of nicotine addiction. This is based on the Fagerstrm Test and can be a good guide for people who are keen to quit smoking. Smoking cigarettes is the normal course of intake of nicotine. 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Downloading QMSYS GUM Enterprise 4.7The 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 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. The additional influences, such as non-linear relationships, correlations, distribution type or interaction of the input quantities, are also taken into account when calculating the uncertainty contributions. The results obtained with this method coincide with the analytical method remarkably closely. - Monte-Carlo Method - this method is described in the first supplement to GUM and for many calculations of the uncertainty is the only appropriate method, since the equations of the model are often not linear. In the Monte Carlo technique a suitable distribution is attributed to each input quantity. --> To start download, click the following link: Download Link 1 Report Link Error | Back to QMSYS GUM Enterprise Details page Popular software of Business & Finance, Business Finance
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2025-03-26QMSys GUM Professional is a cost-effective professional software that offers fast and reliable analysis of the measurement uncertainty of physical measurements, chemical analyses and calibrations, suitable for all types of calibration and testing laboratories, government institutions, universities. The software uses the three most powerful methods - GUM uncertainty framework for linear models, GUM uncertainty framework for non-linear models and the Monte-Carlo method.The software is fully compliant with all official standards, regulations and guidelines. Its results also completely correspond to the reference examples in GUM, Supplement 1 to the GUM, EA-4/02, DAkkS-DKD-3 and EURACHEM/CITAC Guide CG 4. It also provides accuracy and validity of the results even in cases that are not described in GUM and GUM Supplement 1, e.g. non-normally (non Gaussian) distributed input quantities; correlated input quantities with finite degrees of freedom; nonlinear models with non-normally distributed input quantities.Our software product offers many important features, such as:- Suitably for linear and not linear models- Support of symmetrical and asymmetrical distributions of the output quantities- Expert analysis that performs an advanced analysis of the model and determines the appropriate methods for the following calculation of the uncertainties- Regression analysis and calculation of the equation of the expanded uncertainty for a particular range-Automatic fitting of the probability distribution of the result quantities and calculation of the coverage factor-Validation of the results of the GUF method with the help of the Monte-Carlo method- Unlimited number of input and output quantities- Distributions: Normal, Lognormal, Student?s t, Rectangular, Triangular, Trapezoidal, curvilinear Trapezoidal, U-shaped, Quadratic, Exponential, Cosine, 1/2 Cosine, etc. - Direct and indirect methods of observation- Histogram plot and statistical evaluation
2025-04-13