This file was created by the TYPO3 extension bib --- Timezone: CEST Creation date: 2024-04-19 Creation time: 07-00-05 --- Number of references 25 article MarschallWBE2023 Metrologia 2023 6 26 8.4,8.42,KC,Messunsicherheit accepted 10.1088/1681-7575/ace18f MMarschall GWübbeler MBorys CElster article WuebbelerBHE2018 Metrologia 2018 9 7 55 5 722 8.4,8.42,KC 10.1088/1681-7575/aadb6b GWübbeler HBettin FHärtig CElster article SchachtschneiderFSABBBBKKLLMPRSSWWSE2018 Measurement Science and Technology 2018 4 9 29 5 055010 8.4, 8.42, KC, Form 10.1088/1361-6501/aaae96 RSchachtschneider IFortmeier MStavridis JAsfour GBerger R BBergmann ABeutler TBlümel HKlawitter KKubo JLiebl FLöffler RMeeß CPruss DRamm MSandner GSchneider MWendel IWiddershoven MSchulz CElster article BodnarE2016 AStA Advances in Statistical Analysis 2018 1 31 102 1 1--20 8.42,KC,Unsicherheit 10.1007/s10182-016-0279-7 OBodnar CElster article BodnarLAPE2017 Statistics in Medicine 2017 2 1 39 2 378--399 8.4,8.42,KC,Unsicherheit 1097-0258 10.1002/sim.7156 OBodnar ALink BArendacká APossolo CElster article WrightTMWBE2016 Metrologia 2016 10 20 53 6 1243 8.42,8.4,KC 8.42,8.4,KC 10.1088/0026-1394/53/6/1243 JWright BToman BMickan GWübbeler OBodnar CElster article WubbelerBE2016 Metrologia 2016 7 18 53 4 1131--1138 8.42,KC 8.42,KC 10.1088/0026-1394/53/4/1131 GWübbeler OBodnar CElster article Wubbeler2015 Metrologia 2015 1 3 52 2 400--405 8.42, Unsicherheit, KC http://iopscience.iop.org/article/10.1088/0026-1394/52/2/400 IOP Publishing en 0026-1394 10.1088/0026-1394/52/2/400 GWübbeler OBodnar BMickan CElster article Spinelli2014 Biomedical optics express 2014 5 7 2037--53 A multi-center study has been set up to accurately characterize the optical properties of diffusive liquid phantoms based on Intralipid and India ink at near-infrared (NIR) wavelengths. Nine research laboratories from six countries adopting different measurement techniques, instrumental set-ups, and data analysis methods determined at their best the optical properties and relative uncertainties of diffusive dilutions prepared with common samples of the two compounds. By exploiting a suitable statistical model, comprehensive reference values at three NIR wavelengths for the intrinsic absorption coefficient of India ink and the intrinsic reduced scattering coefficient of Intralipid-20<prt>%</prt> were determined with an uncertainty of about 2<prt>%</prt> or better, depending on the wavelength considered, and 1<prt>%</prt>, respectively. Even if in this study we focused on particular batches of India ink and Intralipid, the reference values determined here represent a solid and useful starting point for preparing diffusive liquid phantoms with accurately defined optical properties. Furthermore, due to the ready availability, low cost, long-term stability and batch-to-batch reproducibility of these compounds, they provide a unique fundamental tool for the calibration and performance assessment of diffuse optical spectroscopy instrumentation intended to be used in laboratory or clinical environment. Finally, the collaborative work presented here demonstrates that the accuracy level attained in this work for optical properties of diffusive phantoms is reliable. Medical optics instrumentation,Photon migration,Turbid media 8.42,KC http://www.osapublishing.org/viewmedia.cfm?uri=boe-5-7-2037<prt>&amp;</prt>seq=0<prt>&amp;</prt>html=true Optical Society of America EN 2156-7085 10.1364/BOE.5.002037 LSpinelli MBotwicz NZolek MKacprzak DMilej PSawosz ALiebert UWeigel TDurduran FFoschum AKienle FBaribeau SLeclair J-PBouchard INoiseux PGallant OMermut AFarina APifferi ATorricelli RCubeddu H-CHo MMazurenka HWabnitz KKlauenberg OBodnar CElster MBénazech-Lavoué YBérubé-Lauzière FLesage DKhoptyar A ASubash SAndersson-Engels PDi Ninni FMartelli GZaccanti article Bodnar2014 Metrologia 2014 51 5 516--521 8.42,KC,Regression, Unsicherheit http://iopscience.iop.org/article/10.1088/0026-1394/51/5/516 IOP Publishing en doi:10.1088/0026-1394/51/5/516 0026-1394 10.1088/0026-1394/51/5/516 OBodnar CElster article Jousten2013 Metrologia 2013 50 1A 07001--07001 8.42,KC http://iopscience.iop.org/article/10.1088/0026-1394/50/1A/07001 IOP Publishing en 1681-7575 10.1088/0026-1394/50/1A/07001 KJousten KArai UBecker OBodnar FBoineau J AFedchak VGorobey WJian DMari PMohan JSetina BToman MVivcar Y HYan article Bodnar2013a Measurement Techniques 2013 56 6 584--590 8.42,Bayes,KC http://link.springer.com/10.1007/s11018-013-0249-3 0543-1972 10.1007/s11018-013-0249-3 OBodnar ALink KKlauenberg KJousten CElster article Elster2013 Metrologia 2013 50 5 549--555 8.42,Bayes,KC http://iopscience.iop.org/article/10.1088/0026-1394/50/5/549 IOP Publishing en 0026-1394 10.1088/0026-1394/50/5/549 CElster BToman article Lira2012 IEEE Transactions on Instrumentation and Measurement 2012 61 8 2079--2084 A method is proposed for analyzing key comparison data. It is based on the assumption that each laboratory participating in the comparison exercise obtains independent and consistent estimates of the measurand and that, in addition, each laboratory provides an estimate of the quantity that collects all systematic effects that the laboratory took into account. The unknown value of the latter quantity, subtracted from its estimate, is defined as the laboratory's bias. The uncertainties associated with the estimates of the measurand and with the vanishing biases' estimates are also assumed to be reported. In this paper, we show that the information provided in this way may be of help for judging the performances of the laboratories in their correction of systematic effects. This is done by developing formulas for the final (consensus) estimates and uncertainties of the measurand and of the biases. Formulas for the final estimates and uncertainties of the pairwise differences between the biases are also developed. An example involving simulated key comparison data makes apparent the benefits of the proposed approach. Atmospheric measurements,Bayesian methods,Bismuth,Gaussian distribution,Laboratories,Measurement uncertainty,Particle measurements,Systematics,Uncertainty,laboratory bias estimation,measurement errors,measurement uncertainty,performance evaluation,statistical analysis,systematic effect,vanishing bias estimation 8.42,KC http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6189781 0018-9456 10.1109/TIM.2012.2193690 ILira A GChunovkina CElster WWöger article Toman2012 Metrologia 2012 49 4 567--571 8.42,Bayes,KC http://iopscience.iop.org/article/10.1088/0026-1394/49/4/567 IOP Publishing en 0026-1394 10.1088/0026-1394/49/4/567 BToman JFischer CElster article Elster2010 Metrologia 2010 47 3 113--119 8.42,Bayes,KC http://iopscience.iop.org/article/10.1088/0026-1394/47/3/001 IOP Publishing en 0026-1394 10.1088/0026-1394/47/3/001 CElster BToman article Elster2010a Metrologia 2010 47 1 96--102 8.42,KC http://iopscience.iop.org/article/10.1088/0026-1394/47/1/011 IOP Publishing en 0026-1394 10.1088/0026-1394/47/1/011 CElster A GChunovkina WWöger article Chunovkina2009 Measurement Techniques 2009 52 7 788--793 8.42,KC http://link.springer.com/10.1007/s11018-009-9340-1 0543-1972 10.1007/s11018-009-9340-1 A GChunovkina CElster ILira WWöger article Chunovkina2008 Metrologia 2008 45 2 211--216 8.42,KC http://iopscience.iop.org/article/10.1088/0026-1394/45/2/010 IOP Publishing en 0026-1394 10.1088/0026-1394/45/2/010 A GChunovkina CElster ILira WWöger article Martens2006 Metrologia 2006 43 1A 09002-09002 8.42,Dynamik,KC IOP Publishing 10.1088/0026-1394/43/1A/09002 H-Jvon Martens CElster ALink ATäubner TBruns article Elster2005 Measurement Techniques 2005 48 9 883--893 8.42,KC http://link.springer.com/10.1007/s11018-005-0239-1 0543-1972 10.1007/s11018-005-0239-1 CElster WWöger M GCox article Martens2004 Metrologia 2004 41 1A 09002 During 1996 and 1997, eight national metrology institutes (NMI) took part in a vibration accelerometer comparison, identifier APMP.AUV.V-K1 [http://www.bipm.org/utils/common/pdf/final_reports/AUV/V-K1/APMP.AUV.V-K1.pdf] . Two NMIs ultimately withdrew from the comparison and the results of the remaining six NMIs have been approved by the CCAUV. Four NMIs subsequently took part in the 2001 CIPM key comparison for the same quantity, identifier CCAUV.V-K1. The results of these four CIPM participants have been used to link the results of the remaining two NMIs to the results in the CIPM key comparison using the reference frequency of 160 Hz. The CCAUV nominated the PTB to propose the methodology for the link and subsequently approved the linked results as presented in this report. The degrees of equivalence between each result and the key comparison reference value (KCRV), and between each NMI have been calculated and the results are given in the form of a matrix and graph for six NMIs. As two results from the APMP can now be linked to the published CCAUV.V-K1 comparison [http://www.iop.org/EJ/abstract/0026-1394/40/1A/09001] , the updated graph for the key comparison database is also given. Main text. To reach the main text of this paper, click on Final Report [http://www.bipm.org/utils/common/pdf/final_reports/AUV/V-K1/CCAUV.V-K1_APMP.AUV.V-K1.pdf] . The final report has been peer-reviewed and approved for publication by the CCAUV, according to the provisions of the Mutual Recognition Arrangement (MRA). 8.42,KC http://stacks.iop.org/0026-1394/41/i=1A/a=09002 10.1088/0026-1394/41/1A/09002 H-Jvon Martens CElster ALink WWöger PJ Allisy article Elster2003 Metrologia 2003 40 4 189 A procedure for linking the results of a Regional Metrology Organisation (RMO) key comparison to those of a related Comité International des Poids et Mesures (CIPM) key comparison is proposed. The RMO results are linked to the CIPM results by a factor which is determined as the ratio of the CIPM key comparison reference value and the weighted mean of the RMO results of the linking laboratories. Correlations of the results of the linking laboratories in the two comparisons are taken into account. The uncertainties associated with the linked RMO results and the degrees of equivalence (DOEs) are explicitly given. The influence of correlations of the results of the linking laboratories in both comparisons is examined. It is shown that these correlations can decrease the linking uncertainty, whereas DOEs are expected to be influenced less. The proposed linking procedure is illustrated by its application to linking the results of a recent CIPM key comparison on accelerometer calibrations to that of a corresponding RMO key comparison. 8.42,KC http://stacks.iop.org/0026-1394/40/i=4/a=308 10.1088/0026-1394/40/4/308 CElster AlfredLink WWöger article Elster2001 Measurement Science and Technology 2001 12 10 1672 The concept of a model-based analysis of key comparisons is proposed and illustrated by applying it to data from a regional key comparison of accelerometer calibrations on a scale of frequencies. A physical model of the frequency dependence of the accelerometers' sensitivities is used to calculate reference values. The parameters of the physical model are determined by weighted least squares, and the resulting model is shown to conform with the data. Uncertainties associated with the reference values calculated by the physical model are smaller than those associated with reference values obtained by standard analysis. This can lead to a more favourable assessment of the degree of equivalence of single laboratory measurement values as expressed by calculated E n -numbers. The degree of equivalence of single laboratory measurement values is quantitatively calculated by both model-based analysis and standard analysis, and the results obtained and their differences are discussed. 8.42,KC http://stacks.iop.org/0957-0233/12/i=10/a=308 10.1088/0957-0233/12/10/308 CElster ALink H-Jvon Martens article Elster2001a Measurement Science and Technology 2001 12 9 1431 The degree of equivalence of national measurement standards is established by means of key comparisons. The analysis of data from a key comparison requires the determination of a reference value, which is then used to express the degree of equivalence of the national measurement standards. Several methods for determining a reference value are available and these methods can lead to different results. In this study current methods for determining a reference value are compared. In order to quantitatively assess the quality of performance, the methods are applied to a large set of simulated key comparison data. The simulations refer to several realistic scenarios, including correlated measurements. Large differences in the results can occur and none of the methods performs best in every situation. We give some guidance for selecting an appropriate method when assumptions about the reliability of quoted uncertainties can be made. 8.42,KC http://stacks.iop.org/0957-0233/12/i=9/a=308 10.1088/0957-0233/12/9/308 CElster ALink