UNCERTAINTY INTERVAL EVALUATION USING THE CHI-SQUARE AND FISHER DISTRIBUTIONS IN THE MEASUREMENT PROCESS

作者：Catelani Marcantonio^*; Zanobini Andrea; Ciani Lorenzo

来源：Metrology and Measurement Systems, 2010, 17(2): 195-204.

DOI：10.2478/v10178-010-0017-5

• measurement uncertainty
• confidence level
• statistical distributions

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.

• 出版日期2010