title: Comparative study of robustness of statistical methods for laboratory proficiency testing.
abstract: A Monte Carlo approach has been applied to investigate the statistical properties of data analysis methods for proficiency testing, namely, the median-nIQR, Q-method, Algorithm A and Classical method. Simulations were carried out by using a population consisting of two normal distributions, a main population without bias and a sub-population with bias. The difference for robustness among the methods has been discussed. An actual PT for a dioxin isomer was well interpreted by using the population model employed in this study.
authors.affiliation: Japan Accreditation Board.
authors.forename: Isao
authors.initials: I
authors.lastname: Kojima
authors.forename: Kazutoshi
authors.initials: K
authors.lastname: Kakita