@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://ochroma.man.poznan.pl/Content/107057/PDF/Journal10178-VolumeXVII%20Issue2_05%20paper.pdf},
 doi={10.2478/v10178-010-0017-5},
 keywords={measurement uncertainty, confidence level, statistical distributions},
}