Affiliation:
1. UNIIM – A ffiliated branch of the D. I. Mendeleyev
2. D. I. Mendeleyev Institute for Metrology
Abstract
In this work, algorithms for the characterization of reference materials are developed based on the data model of an interlaboratory experiment containing hidden uncertainties. These algorithms make it possible to evaluate hidden uncertainties, and, taking into account these estimates, adjust the data and obtain an agreed value of the certified characteristics. The Monte Carlo method was used to study the properties of estimates of hidden uncertainties, as well as the study of new algorithms in comparison with traditional ones.
Publisher
Ural Research Institute of Metrology (UNIIM)