ENBIS-22 Trondheim Conference

Session

CONTRIBUTED Metrology & Measurement

28 Jun 2022, 17:35

EL1

Conveners

CONTRIBUTED Metrology & Measurement

• Shirley Coleman (ISRU, Newcastle University)

9. The GUM perspective on straight-line errors-in-variables regression

Dr Katy Klauenberg (Physikalisch-Technische Bundesanstalt (PTB))

28/06/2022, 17:35

Metrology & measurement systems analysis

For linear errors-in-variables regression, various methods are available to estimate the parameters, e.g. least-squares, maximum likelihood, method of moments and Bayesian methods. In addition, several approaches exist to assign probability distributions, and herewith uncertainties, to such estimators.

Following the standard approach in metrology (the Guide to the expression of uncertainty...

55. How to avoid overestimation of the real variation between objects measured on the ordinal scale

Prof. Emil Bashkansky (ORT Braude College of Engineering)

28/06/2022, 17:55

Metrology & measurement systems analysis

One of the quality characteristics characterizing the technological process is the measured degree of variation between produced objects. The probability of certain ordinal response of an object under test depends on its ability, given thresholds, characterizing the specific test item. A class of models borrowed from item response theory were recently adapted to business and industry...

98. Uncertainty of Qualitative Results in Eurachem/CITAC Guide and ISO Standards

Marco Pradella (SIPMeL)

Metrology & measurement systems analysis

Background
The Eurachem/CITAC Guide Assessment of Qualitative Analysis[1] is an innovative document, very useful for laboratories. False qualitative laboratory results are extremely relevant, e.g., in forensics or doping analysis and in medical examinations.
Methods
We compared EURACHEM statements with ISO 3534-2, International vocabulary of metrology (VIM), ISO Guide 99, ISO 17025, ISO...