Interlaboratory consensus building challenge

TL;DR

This paper discusses an interlaboratory comparison involving eleven metrology institutes, focusing on deriving a consensus value, evaluating uncertainties, and establishing confidence intervals to improve measurement consistency.

Contribution

It introduces a structured approach for consensus building and uncertainty evaluation in interlaboratory comparisons, enhancing measurement reliability.

Findings

Consensus value derived from multiple labs

Standard uncertainty evaluated systematically

Coverage interval with 95% confidence established

Abstract

The manuscript is about an interlaboratory comparison which involved eleven metrology institutes. It comprises four tasks: i) deriving a consensus value from these results; ii) evaluating the associated standard uncertainty; iii) producing a coverage interval that, with 95\% confidence, is believed to include the true value of which the consensus value is an estimate; iv) suggesting how the measurement result from NIST may be compared with the consensus value.