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  5. Analysis of methods of indirect measurement uncertainty evaluation when model equation is nonlinear

Analysis of methods of indirect measurement uncertainty evaluation when model equation is nonlinear

N.А. Yaremchuk, M.V. Galovska
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Analysis of methods of indirect measurement uncertainty evaluation ,when model equation is nonlinear and possible linearization, is given. These are: methods with saving of high order members of Taylor series, methods with interval analysis application, methods with reductive interval analysis application, Monte-Carlo method and reduction method.
Keywords: uncertainty, indirect measurement, nonlinearity of model equation