In this paper we review statistical models that describe measurements from a multiple-method study such as in the development of a reference material. We also review requirements for the so-called GUM compliance as this appears to be an important criterion for choosing a model and a method for assigning a value to a measurand of interest, and calculating its uncertainty. For each modeling approach, we identify groups of competing methods and evaluate their status with respect to their statistical characteristics and GUM compliance.
Pub Type: Journals
Bias, GUM, statistical inference, uncertainty