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Mathematica tools for uncertainty analysis
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| Organization: | Universidade Federal do Rio de Janeiro |
| Department: | Mechanical Engineering Dept. - EE/COPPE/UFRJ |
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| Journal of Physics: Conference Series, VII Brazilian Congress on Metrology (Metrologia 2013) |
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Some functions of the authorīs Mathematica 9 package are presented. Links are given to the authorīs interactive demonstrations. Mathematica supports 143 types of statistical distribution covering not only metrology but almost all statistical areas. The Supplement 1 to the ISO GUM mentions that analytical methods are ideal ones, but assume they are applicable only in simple cases, and recommends Monte Carlo method. In contrast, this paper presents Mathematica functions that can explore a multitude of methods in order to find analytical, numerical, or statistical results using (usually) one million random variates.
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