Uncertainty and UncertaintyGUM mathematica functions

• Autor(a) principal: Aibe, Valter Yoshihiko
• Data de Publicação: 2012
• Outros Autores: Mikhailov, Mikhail Dimitrov
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Institucional do INMETRO
• Texto Completo: http://hdl.handle.net/10926/1898

Two functions from the authors Mathematica package are demonstrated. UncertaintyGUM is based on the Guide to the Expression of Uncertainty in Measurement (GUM) [1]. The more powerful Uncertainty use the propagation of distributions to find analytically, numerically, or statistically the expectation ± standard deviation for expression of random variables with prescribed statistical distributions. These two functions gives the same results for the linear expression c1*x1+c2*x2+c3*x3 with normal or multinormal statistical distributions of variables x1, x2, and x3. The approximate results of UncertaintyGUM and exact one of Uncertainty, for the nonlinear expressions Sin[x] and x^n of the normally distributed random variable x, are compared in three interactive demonstrations. This paper is a Mathematica notebook transformed to the new CDF (Computable Document Format) supported by the free CDF Player distributed by the Wolfram Research [3].