A Bayesian approach to the linking of key comparisons

Autor:	Krystek, Michael, Bosse, Harald
Rok vydání:	2015
Předmět:	Statistics - Applications
Druh dokumentu:	Working Paper
Popis:	This contribution presents a Bayesian approach to the issue of linking of the results from key comparison measurements. A mathematical treatment based on Bayesian statistics for the analysis of the results from two comparisons with some joint participants is described. This robust statistical analysis provides expressions and standard uncertainties for the key comparison reference value (KCRV) and the degree of equivalence (DOE) as well as a conformity check without any assumption on a priority of one of the comparisons. In addition to the derivation of the mathematical formulae to be used for this type of "distributed linking", we also present one synthetic and one real linking example and discuss possible applications of this new linking procedure.
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1501.07134 Zobrazit plný text záznamu View this record from Arxiv