Software Support for Metrology Best Practice Guide No . 6 Uncertainty and Statistical Modelling

@inproceedings{Cox2002SoftwareSF,
  title={Software Support for Metrology Best Practice Guide No . 6 Uncertainty and Statistical Modelling},
  author={M. G. Cox and Mark P. Dainton and Peter M. Harris},
  year={2002}
}
This guide provides best practice on the evaluation of uncertainties within metrology, and on the support to this topic given by statistical modelling. It is motivated by two principle considerations. One is that although the primary guide on uncertainty evaluation, the Guide to the Expression of Uncertainty in Measurement (GUM), published by ISO, can be expected to be very widely applicable, the approach it predominantly endorses contains some limitations. The other is that on the basis of the… CONTINUE READING
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