MCM Alchimia download page

English version

MCM Alchimia is an advanced software with a very easy and intuitive interface to perform the estimation of measurement uncertainties by both GUM and Monte Carlo approaches. You can estimate your uncertainties in physic, chemical and biological test very quickly and without advanced knowledge of statistics or calculation. And it is free!
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Русская версия

MCM Alchimia - это передовое программное обеспечение с очень простым и интуитивно понятным интерфейсом для выполнения оценки неопределенностей измерений с использованием подходов GUM и Монте-Карло. Вы можете быстро оценить свои неопределенности в физических, химических и биологических тестах.
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Versión en español

MCM Alchimia es un software avanzado con una interfaz muy fácil e intuitiva para realizar la estimación de las incertidumbres de medición mediante los enfoques GUM y Monte Carlo. Puede estimar sus incertidumbres en pruebas físicas, químicas y biológicas muy rápidamente y sin conocimientos avanzados de estadística o cálculo. ¡Y es gratis!
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中文版

MCM Alchimia 是一种高级软件,具有非常简单直观的界面,可通过 GUM 和蒙特卡罗方法执行测量不确定度的估计。 您可以非常快速地估计物理、化学和生物测试中的不确定性,而无需具备高级的统计或计算知识。 而且是免费的!




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DOWNLOAD MCM ALCHIMIA

MCM Alchimia is available free of charge. The software can be freely used for any purpose, for institutional, universities and even commercial. For further information don't hesitate to contact us.
MCM Alchimia has been successfully tested in a plenty of technical procedures, however, is NOT a validated software for WHICHEVER uncertainty estimation. You should validate the software results for your particular use.

Latest stable version is 5.3 (2021-09-01)
Download MCM Alchimia 5.3

Troubleshooting download or install problem

Since MCM Alchimia is not code signed, its installation could rise a false positive with any antivirus or block downloading. If that is the case please refer to the list on the left to access the websites of common antivirus software for instructions to temporarily disable protection.

 

 

 

 

latest papers

Solved examples on computer-aided uncertainty quantification.

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