The European Centre for
Mathematics and Statistics in Metrology

Scientific journal papers

Scientific papers, guidelines, best-practice guides and relevant publications for mathematics and statistics in metrology are published by MATHMET members in various locations. In order to improve visibility of this work, MATHMET provides a searchable data base of relevant peer-reviewed scientific publications.

For suggestions of articles not yet available in this data base contact MATHMET secretariat. For more information and regular updates of newly added papers subscribe to the mailing list or follow us on Twitter.
C. Elster, G. WübbelerBayesian inference using a noninformative prior for linear Gaussian random coefficient regression with inhomogeneous within-class variances.Comput. Stat., 32(1), 51--692017
S. Eichstädt, C. Elster, I.M. Smith, T.J. EswardEvaluation of dynamic measurement uncertainty – an open-source software package to bridge theory and practice.J. Sens. Sens. Syst., 6 97-1052017
S. Demeyer, N. FischerBayesian framework for proficiency tests using auxiliary information on laboratoriesAccreditation and Quality Assurance, February 2017, Volume 22, Issue 1, pp 1–192017
P. Ceria, S. Ducourtieux, Y. Boukellal, A. Allard, N. Fischer and N. FeltinModelling of the X,Y,Z positioning errors and uncertainty evaluation for the LNE's mAFM using the Monte Carlo methodMeasurement Science and Technology, Volume 28, Number 3 2017
S. Demeyer, N. Fischer, D. MarquisSurrogate model based sequential sampling estimation of conformance probability for computationally expensive systems: application to fire safety scienceJournal de la Société Française de Statistique, Vol. 158, No. 1, p.111-1382017
F. Rolle, F. Pennecchi, S. Perini, M. SegaMetrological traceability of Polycyclic Aromatic Hydrocarbons (PAHs) measurements in green tea and mateMeasurement 982017
C. Elster and G. WübbelerBayesian regression versus application of least squares—an exampleMetrologia, 53(1), S102016
K. Klauenberg and C. ElsterMarkov chain Monte Carlo methods: an introductory exampleMetrologia, 53(1), S322016
O. Bodnar, C. Elster, J. Fischer, A. Possolo and B. TomanEvaluation of uncertainty in the adjustment of fundamental constantsMetrologia, 53(1), S462016
C. Elster and G. WübbelerBayesian inference using a noninformative prior for linear Gaussian random coefficient regression with inhomogeneous within-class variancesComput. Stat., 30(4)2016
A. B. ForbesA two-stage MCM/MCMC algorithm for uncertainty evaluationIn F. Pavese, M. Bär, J.-R. Filtz, A. B. Forbes, L. Pendrill and K. Shirono, editors, Advanced Mathematical and Computational Tools for Metrology IX, 159-170 2016
S. Eichstädt and V. WilkensGUM2DFT - A software tool for uncertainty evaluation of transient signals in the frequency domainMeas. Sci. and Technol., 27(5)2016
S. Eichstädt, V. Wilkens, A. Dienstfrey, P. Hale, B. Hughes and C. JarvisOn challenges in the uncertainty evaluation for time-dependent measurementsMetrologia 53(4)2016
G. J. P. Kok, P. M. Harris, I. M. Smith and A. B. ForbesReference data sets for testing metrology softwareMetrologia, vol 53(4); pp 1091-11002016
L. R. Pendrill and N PeterssonMetrology of human-based and other qualitative measurementsMeasurement Science & Technology, 27, 0940032016
S. Eichstädt, N. Makarava and C. ElsterOn the evaluation of uncertainties for state estimation with the Kalman filterMeas. Sci. Technol. vol. 27(12), 125009, 20162016
Silva Ribeiro, J. Alves e Sousa, Maurice G. Cox, Alistair B. Forbes, L. Cordeiro Matias, L. Lages MartinsUncertainty analysis of thermal comfort parametersInternational Journal of Thermophysics, 20152016
G. Wübbeler, J. Campos Acosta, C. ElsterEvaluation of uncertainties for CIELAB color coordinatesColor Research & Application2016
K. Klauenberg and C. ElsterSampling for assurance of future reliabilityMetrologia, 54(1), 59--682016
O. Bodnar, A. Link, B. Arendacká, A. Possolo, C. ElsterBayesian estimation in random effects meta-analysis using a non-informative priorStatistics in Medicine, 39(2), 378--3992016
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