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Datenanalyse und Messunsicherheit

Arbeitsgruppe 8.42

Publikationen

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2020

•
M. Anton, W. J. H. Veldkamp, I. Hernandez-Giron and C. Elster
RDI - a regression detectability index for quality assurance in: x-ray imaging.
Physics in Medicine & Biology, 65(8),
085017,
2020.
[DOI: 10.1088/1361-6560/ab7b2e]
•
T. Kretz, K.-R. Müller, T. Schäffter and C. Elster
Mammography Image Quality Assurance Using Deep Learning.
IEEE Transactions on Biomedical Engineering,
2020.
[DOI: 10.1109/TBME.2020.2983539]
•
G. Bartl, C. Elster, J. Martin, R. Schödel, M. Voigt and A. Walkov
Thermal expansion and compressibility of single-crystal silicon between 285 K and 320 K.
Measurement Science and Technology, 31(6),
2020.
[DOI: 10.1088/1361-6501/ab7359]
•
J. Martin and C. Elster
Inspecting adversarial examples using the fisher information.
Neurocomputing, 382
80--86,
2020.
[DOI: 10.1016/j.neucom.2019.11.052]
•
M. Schenker, M. Stavridis, M. Schulz and R. Tutsch
Effects of misalignments on the modulation transfer function measurement of camera lenses analyzed in optomechanical simulations.
Opt. Eng., 59(3),
034101,
2020.
[DOI: 10.1117/1.OE.59.3.034101]
•
G. Wübbeler and C. Elster
On the transferability of the GUM-S1 type A uncertainty.
Metrologia, 57(1),
2020.
[DOI: 10.1088/1681-7575/ab50d6]
•
I. Fortmeier, R. Schachtschneider, V. Ledl, O. Matousek, J. Siepmann, A. Harsch, R. Beisswanger, Y. Bitou, Y. Kondo, M. Schulz and C. Elster
Round robin comparison study on the form measurement of optical freeform surfaces.
Journal of the European Optical Society-Rapid Publications, 16(2),
2020.
[DOI: 10.1186/s41476-019-0124-1]

2019

•
J. Lehnert, C. Kolbitsch, G. Wübbeler, A. Chiribiri, T. Schäffter and C. Elster
Large-Scale Bayesian Spatial-Temporal Regression with Application to Cardiac MR-Perfusion Imaging.
SIAM J. Imaging Sci., 12(4),
2035--2062,
2019.
[DOI: 10.1137/19M1246274]
•
K. Klauenberg and C. Elster
Testing normality - An introduction with sample size calculation in legal metrology.
tm - Technisches Messen,(online),
2019.
[DOI: 10.1515/teme-2019-0148]
•
K. Klauenberg, G. Wübbeler and C. Elster
About not Correcting for Systematic Effects.
Measurement Science Review, 19(5),
204--208,
2019.
[DOI: 10.2478/msr-2019-0026]
•
S. Metzner, G. Wübbeler and C. Elster
Approximate large-scale Bayesian spatial modeling with application to quantitative magnetic resonance imaging.
AStA Adv Stat Anal, 103(3),
333--355,
2019.
[DOI: 10.1007/s10182-018-00334-0]
•
T. Kretz, M. Anton, T. Schäffter and C. Elster
Determination of contrast-detail curves in mammography image quality assessment by a parametric model observer.
Physica Medica, 62
120--128,
2019.
[DOI: 10.1016/j.ejmp.2019.05.008]
•
R. Schachtschneider, M. Stavridis, I. Fortmeier, M. Schulz and C. Elster
SimOptDevice: a library for virtual optical experiments.
Journal of Sensors and Sensor Systems, 8(1),
105--110,
2019.
[DOI: 10.5194/jsss-8-105-2019]
•
J. Martin, G. Bartl and C. Elster
Application of Bayesian model averaging to the determination of thermal expansion of single-crystal silicon.
Measurement Science and Technology, 30
045012,
2019.
[DOI: 10.1088/1361-6501/ab094b]

2018

•
J. Lehnert, G. Wübbeler, C. Kolbitsch, A. Chiribiri, L. Coquelin, G. Ebrard, N. Smith, T. Schäffter and C. Elster
Pixel-wise quantification of myocardial perfusion using spatial Tikhonov regularization.
Physics in Medicine & Biology, 63
215017,
2018.
[DOI: 10.1088/1361-6560/aae758]
•
G. Wübbeler, H. Bettin, F. Härtig and C. Elster
Maintaining consensus for the redefined kilogram.
Metrologia, 55(5),
722,
2018.
[DOI: 10.1088/1681-7575/aadb6b]
•
B. Kästner, F. Schmähling, A. Hornemann, G. Ulrich, A. Hoehl, M. Kruskopf, K. Pierz, M. Raschke, G. Wübbeler and C. Elster
Compressed sensing FTIR nano-spectroscopy and nano-imaging.
Optics Express, 14
18115--18124,
2018.
[DOI: 10.1364/OE.26.018115]
•
K. Klauenberg and C. Elster
How to ensure the future quality of utility meters.
OIML Bulletin, LIX(3),
10--16,
2018.
•
A. Khanin, M. Anton, M. Reginatto and C. Elster
Assessment of CT image quality using a Bayesian framework.
IEEE Transactions on Medical Imaging, 37(12),
2687--2694,
2018.
[DOI: 10.1109/TMI.2018.2848104]
•
A. Possolo, O. Bodnar, T. A. Butler, J. L. Molloy and M. R. Winchester
Value assignment and uncertainty evaluation for single-element reference solutions.
Metrologia, 55(3),
404,
2018.
[DOI: 10.1088/1681-7575/aabd57]
•
R. Schachtschneider, I. Fortmeier, M. Stavridis, J. Asfour, G. Berger, R. B. Bergmann, A. Beutler, T. Blümel, H. Klawitter, K. Kubo, J. Liebl, F. Löffler, R. Meeß, C. Pruss, D. Ramm, M. Sandner, G. Schneider, M. Wendel, I. Widdershoven, M. Schulz and C. Elster
Interlaboratory comparison measurements of aspheres.
Measurement Science and Technology, 29(5),
055010,
2018.
[DOI: 10.1088/1361-6501/aaae96]
•
M. Anton, A. Khanin, T. Kretz, M. Reginatto and C. Elster
A simple parametric model observer for quality assurance in computer tomography.
Physics in Medicine & Biology, 63(7),
5011,
2018.
[DOI: 10.1088/1361-6560/aab24a]
•
K. Klauenberg, R. Kramer, C. Kroner, J. Rose and C. Elster
Reducing sample size by tightening test conditions.
Quality and Reliability Engineering International,
2018.
[DOI: 10.1002/qre.2256]
•
A. Possolo and O. Bodnar
Approximate Bayesian evaluations of measurement uncertainty.
Metrologia, 55(2),
147,
2018.
[DOI: 10.1088/1681-7575/aaa5be]
•
O. Bodnar and C. Elster
Assessment of vague and noninformative priors for Bayesian estimation of the realized random effects in random-effects meta-analysis.
AStA Advances in Statistical Analysis, 102(1),
1--20,
2018.
[DOI: 10.1007/s10182-016-0279-7]
•
G. Wübbeler, O. Bodnar and C. Elster
Robust Bayesian linear regression with application to an analysis of the CODATA values for the Planck constant.
Metrologia, 55(1),
20,
2018.
[DOI: 10.1088/1681-7575/aa98aa]
•
M. Dierl, T. Eckhard, B. Frei, M. Klammer, S. Eichstädt and C. Elster
Novel accuracy test for multispectral imaging systems based on ΔE measurements.
Journal of the European Optical Society-Rapid Publications, 14(1),
1,
2018.
[DOI: 10.1186/s41476-017-0069-1]

2017

•
M. Bär and C. Elster
Mathematics and Statistics for Digitalization.
PTB Mitteilungen, 127(4),
69--74,
2017.
•
F. Schmähling, G. Wübbeler, U. Krüger, B. Ruggaber, F. Schmidt, R. D. Taubert, A. Sperling and C. Elster
Uncertainty evaluation and propagation for spectral measurements.
Color, Research and Application, 43(1),
6--16,
2017.
[DOI: 10.1002/col.22185]
•
I. Müller, R. D. Horansky, J. H. Lehman, S. W. Nam, I. Vayshenker, L. Werner, G. Wuebbeler and M. White
Verification of calibration methods for determining photon-counting detection efficiency using superconducting nano-wire single photon detectors.
Opt. Express, 25(18),
21483--21495,
2017.
[DOI: 10.1364/OE.25.021483]
•
G. Wübbeler and C. Elster
A Large-Scale Optimization Method Using a Sparse Approximation of the Hessian for Magnetic Resonance Fingerprinting.
SIAM J. Imaging Sci., 10(3),
979--1004,
2017.
[DOI: 10.1137/16M1095032]
•
M. Reginatto, M. Anton and C. Elster
Assessment of CT image quality using a Bayesian approach.
Metrologia, 54(4),
S74--S82,
2017.
[DOI: 10.1088/1681-7575/aa735b]
•
S. Eichstädt and V. Wilkens
Evaluation of uncertainty for regularized deconvolution: A case study in hydrophone measurements.
J. Acoust. Soc. Am., 141(6),
4155--4167,
2017.
[DOI: 10.1121/1.4983827]
•
O. Bodnar, R. Behrens and C. Elster
Bayesian inference for measurements of ionizing radiation under partial information.
Metrologia, 54(3),
S29--S33,
2017.
[DOI: 10.1088/1681-7575/aa69ad]
•
M. Kobusch and S. Eichstädt
A case study in model-based dynamic calibration of small strain gauge force transducers.
Acta IMEKO, 6(1),
3--12,
2017.
[DOI: 10.21014/acta_imeko.v6i1.433]
•
S. Eichstädt, C. Elster, I. M. Smith and T. J. Esward
Evaluation of dynamic measurement uncertainty – an open-source software package to bridge theory and practice.
J. Sens. Sens. Syst., 6
97-105,
2017.
[DOI: 10.5194/jsss-6-97-2017]
•
O. Bodnar, A. Link, B. Arendacká, A. Possolo and C. Elster
Bayesian estimation in random effects meta-analysis using a non-informative prior.
Statistics in Medicine, 39(2),
378--399,
2017.
[DOI: 10.1002/sim.7156]
•
C. Elster and G. Wübbeler
Bayesian inference using a noninformative prior for linear Gaussian random coefficient regression with inhomogeneous within-class variances.
Comput. Stat., 32(1),
51--69,
2017.
[DOI: 10.1007/s00180-015-0641-3]
•
K. Klauenberg and C. Elster
Sampling for assurance of future reliability.
Metrologia, 54(1),
59--68,
2017.
[DOI: 10.1088/1681-7575/54/1/59]

2016

•
G. Wübbeler, J. Campos Acosta and C. Elster
Evaluation of uncertainties for CIELAB color coordinates.
Color Research & Application,
2016.
[DOI: 10.1002/col.22109]
•
O. Bodnar and W. Schmid
CUSUM control schemes for monitoring the covariance matrix of multivariate time series.
Statistics, 51(4),
722--744,
2016.
[DOI: 10.1080/02331888.2016.1268616]
•
J. Wright, B. Toman, B. Mickan, G. Wübbeler, O. Bodnar and C. Elster
Transfer standard uncertainty can cause inconclusive inter-laboratory comparisons.
Metrologia, 53(6),
1243,
2016.
[DOI: 10.1088/0026-1394/53/6/1243]
•
S. Eichstädt, N. Makarava and C. Elster
On the evaluation of uncertainties for state estimation with the Kalman filter.
Measurement Science and Technology, 27(12),
125009,
2016.
[DOI: 10.1088/0957-0233/27/12/125009]
•
I. Fan, S. Knappe-Grünberg, J. Voigt, W. Kilian, M. Burghoff, D. Stollfuss, A. Schnabel, G. Wübbeler, O. Bodnar, C. Elster, F. Seifert and L. Trahms
Direct measurement of the γ He / γ Xe ratio at ultralow magnetic field.
Journal of Physics: Conference Series, 723(1),
012045,
2016.
[DOI: 10.1088/1742-6596/723/1/012045]
•
M. Langovoy, F. Schmähling and G. Wübbeler
Numerical comparison of sampling strategies for BRDF data manifolds.
Measurement, 94(Supplement C),
578--584,
2016.
[DOI: 10.1016/j.measurement.2016.08.010]
•
I. Fortmeier
Zur Optimierung von Auswerteverfahren für Tilted-Wave Interferometer.
Berichte aus dem Institut für Technische Optik
, 2016
[DOI: 10.18419/opus-8878]
•
G. Wübbeler, O. Bodnar and C. Elster
Bayesian hypothesis testing for key comparisons.
Metrologia, 53(4),
1131--1138,
2016.
[DOI: 10.1088/0026-1394/53/4/1131]
•
M. Dierl, T. Eckhard, B. Frei, M. Klammer, S. Eichstädt and C. Elster
Improved estimation of reflectance spectra by utilizing prior knowledge.
Journal of the Optical Society of America A, 33(7),
1370--1376,
2016.
[DOI: 10.1364/JOSAA.33.001370]
•
S. Eichstädt, V. Wilkens, A. Dienstfrey, P. Hale, B. Hughes and C. Jarvis
On challenges in the uncertainty evaluation for time-dependent measurements.
Metrologia, 53(4),
2016.
[DOI: 10.1088/0026-1394/53/4/S125]
•
S. Eichstädt and V. Wilkens
GUM2DFT — a software tool for uncertainty evaluation of transient signals in the frequency domain.
Measurement Science and Technology, 27(5),
055001,
2016.
[DOI: 10.1088/0957-0233/27/5/055001]
•
I. Fortmeier, M. Stavridis, A. Wiegmann, M. Schulz, W. Osten and C. Elster
Evaluation of absolute form measurements using a tilted-wave interferometer.
Opt. Express, 24(4),
3393--3404,
2016.
[DOI: 10.1364/OE.24.003393]
•
S. Eichstädt and C. Elster
Modellierung dynamischer Messsysteme - von stochastischen Prozessen zu praktikablen Messunsicherheiten.
tm - Technisches Messen, 83(2),
66-70,
2016.
[DOI: 10.1515/teme-2015-0098]
•
O. Bodnar, C. Elster, J. Fischer, A. Possolo and B. Toman
Evaluation of uncertainty in the adjustment of fundamental constants.
Metrologia, 53(1),
S46,
2016.
[DOI: 10.1088/0026-1394/53/1/S46]
•
K. Klauenberg and C. Elster
Markov chain Monte Carlo methods: an introductory example.
Metrologia, 53(1),
S32,
2016.
[DOI: 10.1088/0026-1394/53/1/S32]
•
C. Elster and G. Wübbeler
Bayesian regression versus application of least squares—an example.
Metrologia, 53(1),
S10,
2016.
[DOI: 10.1088/0026-1394/53/1/S10]
•
O. Bodnar, A. Link and C. Elster
Objective Bayesian Inference for a Generalized Marginal Random Effects Model.
Bayesian Analysis, 11(1),
25-45,
2016.
[DOI: 10.1214/14-BA933]
(Open Access)

2015

•
D. Bunk, J. Noble, A. E. Knight, L. Wang, K. Klauenberg, M. Walzel and C. Elster
CCQM-P58.1: Immunoassay Quantitation of Human Cardiac Troponin I..
Metrologia, 52(1A),
08006,
2015.
[DOI: 10.1088/0026-1394/52/1A/08006]
•
K. Klauenberg, G. Wübbeler, B. Mickan, P. Harris and C. Elster
A tutorial on Bayesian Normal linear regression.
Metrologia, 52(6),
878--892,
2015.
[DOI: 10.1088/0026-1394/52/6/878]
•
C. Elster, K. Klauenberg, M. Walzel, P. M. Harris, M. G. Cox, C. Matthews, L. Wright, A. Allard, N. Fischer, S. Ellison, P. Wilson, F. Pennecchi, G. J. P. Kok, A. Van der Veen and L. Pendrill
A Guide to Bayesian Inference for Regression Problems.
EMRP NEW04,
, 2015
•
M. Kobusch, S. Eichstädt, L. Klaus and T. Bruns
Investigations for the model-based dynamic calibration of force transducers by using shock excitation.
ACTA IMEKO, 4(2),
45-51,
2015.
(Open Access)
•
L. Klaus, B. Arendacká, M. Kobusch and T. Bruns
Dynamic torque calibration by means of model parameter identification.
ACTA IMEKO, 3(1),
1-6,
2015.
(Open Access)
•
G. Wübbeler, O. Bodnar, B. Mickan and C. Elster
Explanatory power of degrees of equivalence in the presence of a random instability of the common measurand.
Metrologia, 52(2),
400--405,
2015.
[DOI: 10.1088/0026-1394/52/2/400]
•
G. J. P. Kok, A. M. H. van der Veen, P. M. Harris, I. M. Smith and C. Elster
Bayesian analysis of a flow meter calibration problem.
Metrologia, 52(2),
392-399,
2015.
[DOI: 10.1088/0026-1394/52/2/392]
•
K. Klauenberg, M. Walzel, B. Ebert and C. Elster
Informative prior distributions for ELISA analyses.
Biostatistics, 16(3),
454--64,
2015.
[DOI: 10.1093/biostatistics/kxu057]

2014

•
A. Possolo and C. Elster
Evaluating the uncertainty of input quantities in measurement models.
Metrologia, 51(3),
339--353,
2014.
[DOI: 10.1088/0026-1394/51/3/339]
•
C. Matthews, F. Pennecchi, S. Eichstädt, A. Malengo, T. Esward, I. M. Smith, C. Elster, A. Knott, F. Arrhén and A. Lakka
Mathematical modelling to support traceable dynamic calibration of pressure sensors.
Metrologia, 51(3),
326-338,
2014.
[DOI: 10.1088/0026-1394/51/3/326]
•
S. Eichstädt, B. Arendacká, A. Link and C. Elster
Evaluation of measurement uncertainties for time-dependent quantities.
EPJ Web of Conferences, 77(3),
2014.
[DOI: 10.1051/epjconf/20147700003]
•
L. Spinelli, M. Botwicz, N. Zolek, M. Kacprzak, D. Milej, P. Sawosz, A. Liebert, U. Weigel, T. Durduran, F. Foschum, A. Kienle, F. Baribeau, S. Leclair, J.-P. Bouchard, I. Noiseux, P. Gallant, O. Mermut, A. Farina, A. Pifferi, A. Torricelli, R. Cubeddu, H.-C. Ho, M. Mazurenka, H. Wabnitz, K. Klauenberg, O. Bodnar, C. Elster, M. Bénazech-Lavoué, Y. Bérubé-Lauzière, F. Lesage, D. Khoptyar, A. A. Subash, S. Andersson-Engels, P. Di Ninni, F. Martelli and G. Zaccanti
Determination of reference values for optical properties of liquid phantoms based on Intralipid and India ink.
Biomedical optics express, 5(7),
2037--53,
2014.
[DOI: 10.1364/BOE.5.002037]
•
F. Schmähling, G. Wübbeler, M. Lopez, F. Gassmann, U. Krüger, F. Schmidt, A. Sperling and C. Elster
Virtual experiment for near-field goniophotometric measurements.
Applied optics, 53(7),
1481--7,
2014.
[DOI: 10.1364/AO.53.001481]
•
O. Bodnar and C. Elster
Analytical derivation of the reference prior by sequential maximization of Shannon's mutual information in the multi-group parameter case.
Journal of Statistical Planning and Inference, 147
106--116,
2014.
[DOI: 10.1016/j.jspi.2013.11.003]
•
O. Bodnar and C. Elster
On the adjustment of inconsistent data using the Birge ratio.
Metrologia, 51(5),
516--521,
2014.
[DOI: 10.1088/0026-1394/51/5/516]
•
S. Eichstädt and C. Elster
Reliable uncertainty evaluation for ODE parameter estimation - a comparison.
Journal of Physics: Conference Series, 490(1),
012230,
2014.
[DOI: 10.1088/1742-6596/490/1/012230]
•
B. Arendacká
Independent Quadratic Forms in 3-Variance-Component Models.
Communications in Statistics - Theory and Methods, 43(5),
975-988,
2014.
[DOI: 10.1080/03610926.2013.841925]
•
B. Arendacká and S. Puntanen
Further remarks on the connection between fixed linear model and mixed linear model.
Statistical Papers, 56(4),
1235--1247,
2014.
[DOI: 10.1007/s00362-014-0634-2]
•
B. Arendacká, A. Täubner, S. Eichstädt, T. Bruns and C. Elster
Linear Mixed Models: Gum and Beyond.
Measurement Science Review, 14(2),
52-61,
2014.
[DOI: 10.2478/msr-2014-0009]
•
S. J. Haslett, S. Puntanen and B. Arendacká
The link between the mixed and fixed linear models revisited.
Statistical Papers, 56(3),
849--861,
2014.
[DOI: 10.1007/s00362-014-0611-9]
•
S. Heidenreich, H. Gross, M.-A. Henn, C. Elster and M. Bär
A surrogate model enables a Bayesian approach to the inverse problem of scatterometry.
J. Phys. Conf. Ser., 490(1),
012007,
2014.
[DOI: 10.1088/1742-6596/490/1/012007]
•
M.-A. Henn, H. Gross, S. Heidenreich, F. Scholze, C. Elster and M. Bär
Improved reconstruction of critical dimensions in extreme ultraviolet scatterometry by modeling systematic errors.
Measurement Science and Technology, 25(4),
044003,
2014.
[DOI: 10.1088/0957-0233/25/4/044003]
•
R. D. Geckeler, A. Link, M. Krause and C. Elster
Capabilities and limitations of the self-calibration of angle encoders.
Measurement Science and Technology, 25(5),
055003,
2014.
[DOI: 10.1088/0957-0233/25/5/055003]
•
I. Fortmeier, M. Stavridis, A. Wiegmann, M. Schulz, W. Osten and C. Elster
Analytical Jacobian and its application to tilted-wave interferometry.
Optics express, 22(18),
21313--25,
2014.
[DOI: 10.1364/OE.22.021313]
•
C. Elster
Bayesian uncertainty analysis compared with the application of the GUM and its supplements.
Metrologia, 51(4),
S159--S166,
2014.
[DOI: 10.1088/0026-1394/51/4/S159]

2013

•
K. Jousten, K. Arai, U. Becker, O. Bodnar, F. Boineau, J. A. Fedchak, V. Gorobey, W. Jian, D. Mari, P. Mohan, J. Setina, B. Toman, M. Vivcar and Y. H. Yan
Final report of key comparison CCM.P-K12 for very low helium flow rates (leak rates).
Metrologia, 50(1A),
07001--07001,
2013.
[DOI: 10.1088/0026-1394/50/1A/07001]
•
G. Wübbeler and C. Elster
Simplified evaluation of magnetic field fluctuation thermometry.
Measurement Science and Technology, 24(11),
115004,
2013.
[DOI: 10.1088/0957-0233/24/11/115004]
•
O. Bodnar, A. Link, K. Klauenberg, K. Jousten and C. Elster
Application of Bayesian model averaging using a fixed effects model with linear drift for the analysis of key comparison CCM.P-K12.
Measurement Techniques, 56(6),
584--590,
2013.
[DOI: 10.1007/s11018-013-0249-3]
•
O. Bodnar, T. Bodnar and Y. Okhrin
Robust Surveillance of Covariance Matrices Using a Single Observation.
Sankhya A, 76(2),
219--256,
2013.
[DOI: 10.1007/s13171-013-0044-x]
•
S. Eichstädt, F. Schmähling, G. Wübbeler, K. Anhalt, L. Bünger, U. Krüger and C. Elster
Comparison of the Richardson-Lucy method and a classical approach for spectrometer bandpass correction.
Metrologia, 50(2),
107-118,
2013.
[DOI: 10.1088/0026-1394/50/2/107]
•
G. Ehret, M. Schulz, M. Baier and A. Fitzenreiter
Optical measurement of absolute flatness with the deflectometric measurement systems at PTB.
Journal of Physics: Conference Series, 425(15),
152016,
2013.
[DOI: 10.1088/1742-6596/425/15/152016]
•
C. Elster and B. Toman
Analysis of key comparison data: critical assessment of elements of current practice with suggested improvements.
Metrologia, 50(5),
549--555,
2013.
[DOI: 10.1088/0026-1394/50/5/549]
•
F. Kohl
Blind separation of dependent source signals for MEG sensory stimulation experiments.
PhD Thesis
, 2013

2012

•
S. Eichstädt, A. Link, P. M. Harris and C. Elster
Efficient implementation of a Monte Carlo method for uncertainty evaluation in dynamic measurements.
Metrologia, 49(3),
401,
2012.
[DOI: 10.1088/0026-1394/49/3/401]
•
S. Nevas, G. Wübbeler, A. Sperling, C. Elster and A. Teuber
Simultaneous correction of bandpass and stray-light effects in array spectroradiometer data.
Metrologia, 49(2),
S43--S47,
2012.
[DOI: 10.1088/0026-1394/49/2/S43]
•
K. Klauenberg and C. Elster
The multivariate normal mean - sensitivity of its objective Bayesian estimates.
Metrologia, 49(3),
395--400,
2012.
[DOI: 10.1088/0026-1394/49/3/395]
•
I. Lira, A. G. Chunovkina, C. Elster and W. Wöger
Analysis of Key Comparisons Incorporating Knowledge About Bias.
IEEE Transactions on Instrumentation and Measurement, 61(8),
2079--2084,
2012.
[DOI: 10.1109/TIM.2012.2193690]
•
A. Liebert, H. Wabnitz and C. Elster
Determination of absorption changes from moments of distributions of times of flight of photons: optimization of measurement conditions for a two-layered tissue model.
Journal of biomedical optics, 17(5),
057005,
2012.
[DOI: 10.1117/1.JBO.17.5.057005]
•
G. Wübbeler, F. Schmähling, J. Beyer, J. Engert and C. Elster
Analysis of magnetic field fluctuation thermometry using Bayesian inference.
Measurement Science and Technology, 23(12),
125004,
2012.
[DOI: 10.1088/0957-0233/23/12/125004]
•
B. Toman, J. Fischer and C. Elster
Alternative analyses of measurements of the Planck constant.
Metrologia, 49(4),
567--571,
2012.
[DOI: 10.1088/0026-1394/49/4/567]
•
T. Bruns, A. Link and A. Täubner
The influence of different vibration exciter systems on high frequency primary calibration of single-ended accelerometers: II.
Metrologia, 49(1),
27--31,
2012.
[DOI: 10.1088/0026-1394/49/1/005]
•
W. Bich, M. G. Cox, R. Dybkaer, C. Elster, W. T. Estler, B. Hibbert, H. Imai, W. Kool, C. Michotte, L. Nielsen, L. Pendrill, S. Sidney, A. M. H. van der Veen and W. Wöger
Revision of the "Guide to the Expression of Uncertainty in Measurement".
Metrologia, 49(6),
702--705,
2012.
[DOI: 10.1088/0026-1394/49/6/702]
•
M.-A. Henn, H. Gross, F. Scholze, M. Wurm, C. Elster and M. Bär
A maximum likelihood approach to the inverse problem of scatterometry.
Optics Express, 20(12),
12771-86,
2012.
[DOI: 10.1364/OE.20.012771]
•
C. Elster and I. Lira
On the choice of a noninformative prior for Bayesian inference of discretized normal observations.
Computational Statistics, 27(2),
219--235,
2012.
[DOI: 10.1007/s00180-011-0251-7]
•
H. Füser, S. Eichstädt, K. Baaske, C. Elster, K. Kuhlmann, R. Judaschke, K. Pierz and M. Bieler
Optoelectronic time-domain characterization of a 100 GHz sampling oscilloscope.
Measurement Science and Technology, 23(2),
025201,
2012.
[DOI: 10.1088/0957-0233/23/2/025201]
•
G. Wübbeler, P. M. Harris, M. G. Cox and C. Elster
Assessment of the GUM S1 Adaptive Monte Carlo Scheme.
In F. Pavese, M. Bär, J.M. Limares, C. Perruchet, N.F. Zhang, Editor, Band Advanced Mathematical & Computational Tools in Metrology IXaus Series on Advances in Mathematics for Applied Sciences
Kapitel 54, Seite 434
Herausgeber: World Scientific New Jersey,
84 Edition
, 2012
•
S. Eichstädt and C. Elster
Uncertainty evaluation for continuous-time measurements.
In F. Pavese, M. Bär, J.-R. Filtz, A. B. Forbes, L. Pendrill, K. Shirono, Editor, Band Advanced Mathematical & Computational Tools in Metrology and Testing IX aus Series on Advances in Mathematics for Applied Sciences
Kapitel 16, Seite 126-135
Herausgeber: World Scientific New Jersey,
84 Edition
, 2012
•
T. J. Esward, C. Matthews, S. Downes, A. Knott, S. Eichstädt and C. Elster
Uncertainty evaluation for traceable dynamic measurement of mechanical quantities: A case study in dynamic pressure calibration.
In F. Pavese, M. Bär, J.-R. Filtz, A. B. Forbes, L. Pendrill, K. Shirono, Editor, Band Advanced Mathematical & Computational Tools in Metrology and Testing IX  aus Series on Advances in Mathematics for Applied Sciences
Kapitel 19, Seite 143-151
Herausgeber: World Scientific New Jersey,
84 Edition
, 2012
•
S. Eichstädt
Analysis of Dynamic Measurements - Evaluation of dynamic measurement uncertainty.
PhD Thesis
, 2012

2011

•
I. Romero, E. Fleck and C. Kriatselis
Frequency analysis of atrial fibrillation surface and intracardiac electrograms during pulmonary vein isolation.
Europace, 13(9),
1340--1345,
2011.
[DOI: 10.1093/europace/eur104]
•
H. Koch, R.-D. Bousseljot, O. Kosch, C. Jahnke, I. Paetsch, E. Fleck and B. Schnackenburg
A reference dataset for verifying numerical electrophysiological heart models.
Biomedical engineering online, 10(1),
11,
2011.
[DOI: 10.1186/1475-925X-10-11]
•
K. Klauenberg, B. Ebert, J. Voigt, M. Walzel, J. E. Noble, A. E. Knight and C. Elster
Bayesian analysis of an international ELISA comparability study.
Clinical chemistry and laboratory medicine : CCLM / FESCC, 49(9),
1459--68,
2011.
[DOI: 10.1515/CCLM.2011.648]
•
K. Klauenberg, P. G. Blackwell, C. E. Buck, R. Mulvaney, R. Röthlisberger and E. W. Wolff
Bayesian Glaciological Modelling to quantify uncertainties in ice core chronologies.
Quaternary Science Reviews, 30(21-22),
2961--2975,
2011.
[DOI: 10.1016/j.quascirev.2011.03.008]
•
A. Wiegmann, M. Schulz and C. Elster
Absolute Profilmessung optischer Oberflächen mit Mehrfachsensorsystemen.
tm - Technisches Messen, 78(4),
184--189,
2011.
[DOI: 10.1524/teme.2011.0102]
•
A. Wiegmann, M. Stavridis, M. Walzel, F. Siewert, T. Zeschke, M. Schulz and C. Elster
Accuracy evaluation for sub-aperture interferometry measurements of a synchrotron mirror using virtual experiments.
Precision Engineering, 35(2),
183--190,
2011.
[DOI: 10.1016/j.precisioneng.2010.08.007]
•
G. Wübbeler, G. J. Padilla Viquez, K. Jousten, O. Werhahn and C. Elster
Comparison and assessment of procedures for calculating the R(12) line strength of the ν1 + 2 ν2 + ν3 band of CO2.
The Journal of Chemical Physics, 135(20),
204304,
2011.
[DOI: 10.1063/1.3662134]
•
O. Bodnar, G. Wübbeler and C. Elster
On the application of Supplement 1 to the GUM to non-linear problems.
Metrologia, 48(5),
333--342,
2011.
[DOI: 10.1088/0026-1394/48/5/014]
•
C. Elster and B. Toman
Bayesian uncertainty analysis for a regression model versus application of GUM Supplement 1 to the least-squares estimate.
Metrologia, 48(5),
233--240,
2011.
[DOI: 10.1088/0026-1394/48/5/001]

2010

•
F. Kohl, G. Wübbeler, D. Kolossa, M. Bär, R. Orglmeister and C. Elster
Shifted factor analysis for the separation of evoked dependent MEG signals.
Physics in medicine and biology, 55(15),
4219--30,
2010.
[DOI: 10.1088/0031-9155/55/15/002]
•
S. Leistner, T. Sander, G. Wübbeler, A. Link, C. Elster, G. Curio, L. Trahms and B. M. Mackert
Magnetoencephalography discriminates modality-specific infraslow signals less than 0.1 Hz.
NeuroReport, 21(3),
196--200,
2010.
•
A. Wiegmann, M. Schulz and C. Elster
Improving the lateral resolution of a multi-sensor profile measurement method by non-equidistant sensor spacing.
Optics express, 18(15),
15807--19,
2010.
[DOI: 10.1364/OE.18.015807]
•
M. Schulz, G. Ehret, M. Stavridis and C. Elster
Concept, design and capability analysis of the new Deflectometric Flatness Reference at PTB.
Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 616(2-3),
134--139,
2010.
[DOI: 10.1016/j.nima.2009.10.108]
•
T. H. Sander, T. R. Knösche, A. Schlögl, F. Kohl, C. H. Wolters, J. Haueisen and L. Trahms
Recent advances in modeling and analysis of bioelectric and biomagnetic sources.
Biomedizinische Technik. Biomedical engineering, 55(2),
65--76,
2010.
[DOI: 10.1515/BMT.2010.027]
•
G. Wübbeler, P. M. Harris, M. G. Cox and C. Elster
A two-stage procedure for determining the number of trials in the application of a Monte Carlo method for uncertainty evaluation.
Metrologia, 47(3),
317--324,
2010.
[DOI: 10.1088/0026-1394/47/3/023]
•
S. Eichstädt, A. Link and C. Elster
Dynamic uncertainty for compensated second-order systems.
Sensors, 10(8),
7621-31,
2010.
[DOI: 10.3390/s100807621]
•
S. Eichstädt, A. Link, T. Bruns and C. Elster
On-line dynamic error compensation of accelerometers by uncertainty-optimal filtering.
Measurement, 43(5),
708-713,
2010.
[DOI: 10.1016/j.measurement.2009.12.028]
•
S. Eichstädt, C. Elster, T. J. Esward and J. P. Hessling
Deconvolution filters for the analysis of dynamic measurement processes: a tutorial.
Metrologia, 47(5),
522-533,
2010.
[DOI: 10.1088/0026-1394/47/5/003]
•
C. Elster and B. Toman
Analysis of key comparisons: estimating laboratories' biases by a fixed effects model using Bayesian model averaging.
Metrologia, 47(3),
113--119,
2010.
[DOI: 10.1088/0026-1394/47/3/001]
•
C. Elster, A. G. Chunovkina and W. Wöger
Linking of a RMO key comparison to a related CIPM key comparison using the degrees of equivalence of the linking laboratories.
Metrologia, 47(1),
96--102,
2010.
[DOI: 10.1088/0026-1394/47/1/011]
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