A top-down in-house validation based approach for the investigation of the measurement uncertainty using fractional factorial experiments

Abstract

The recently presented in-house validation concept developed on the basis of a variance component model is extended and optimised by basing it on a fractional factorial sampling scheme. The presented approach relies on a comprehensive mathematical model to assess simultaneously the in-house reproducibility and its components in addition to uncertainty-related performance characteristics like power functions and critical concentrations. The influence of individual factors and the corresponding uncertainties can be determined separately in a single experiment with optimum utilization of the generated data, in this way achieving a favourable ratio between costs and result.