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Numerical inversion of a characteristic function: An alternative tool to form the probability distribution of output quantity in linear measurement models

2016
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ACTA IMEKO
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<p><span>Measurement uncertainty analysis based on combining the state-of-knowledge distributions requires evaluation of the probability density function (PDF), the cumulative distribution function (CDF), and/or the quantile function (QF) of a random variable reasonably associated with the measurand. This can be derived from the characteristic function (CF), which is defined as a Fourier transform of its probability distribution function. Working with CFs provides an alternative and frequently

doi:10.21014/acta_imeko.v5i3.382
fatcat:a6bprlm6kbbihgaxdoeei2vk5y