@ARTICLE{Catelani_Marcantonio_Uncertainty_2010, author={Catelani, Marcantonio and Zanobini, Andrea and Ciani, Lorenzo}, number={No 2}, journal={Metrology and Measurement Systems}, pages={195-204}, howpublished={online}, year={2010}, publisher={Polish Academy of Sciences Committee on Metrology and Scientific Instrumentation}, abstract={Referring to the Guide to the Expression of Uncertainty in Measurement (GUM), the paper proposes a theoretical contribution to assess the uncertainty interval, with relative confidence level, in the case of n successive observations. The approach is based on the Chi-square and Fisher distributions and the validity is proved by a numerical example. For a more detailed study of the uncertainty evaluation, a model for the process variability has been also developed.}, type={Artykuły / Articles}, title={Uncertainty Interval Evaluation Using the Chi-Square and Fisher Distributions in the Measurement Process}, URL={http://journals.pan.pl/Content/107057/PDF/Journal10178-VolumeXVII%20Issue2_05%20paper.pdf}, doi={10.2478/v10178-010-0017-5}, keywords={measurement uncertainty, confidence level, statistical distributions}, }