TY - JOUR A1 - Lisec, Jan A1 - Recknagel, Sebastian A1 - Prinz, Carsten A1 - Vogel, Kristin A1 - Koch, Matthias A1 - Becker, Roland T1 - eCerto—versatile software for interlaboratory data evaluation and documentation during reference material production N2 - The statistical tool eCerto was developed for the evaluation of measurement data to assign property values and associated uncertainties of reference materials. The analysis is based on collaborative studies of expert laboratories and was implemented using the R software environment. Emphasis was put on comparability of eCerto with SoftCRM, a statistical tool based on the certification strategy of the former Community Bureau of Reference. Additionally, special attention was directed towards easy usability from data collection through processing, archiving, and reporting. While the effects of outlier removal can be flexibly explored, eCerto always retains the original data set and any manipulation such as outlier removal is (graphically and tabularly) documented adequately in the report. As a major reference materials producer, the Bundesanstalt für Materialforschung und -prüfung (BAM) developed and will maintain a tool to meet the needs of modern data processing, documentation requirements, and emerging fields of RM activity. The main features of eCerto are discussed using previously certified reference materials. KW - Reference material KW - Statistics KW - Software KW - Collaborative trial PY - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:b43-591851 SP - 1 EP - 9 PB - Springer Science and Business Media LLC AN - OPUS4-59185 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - von der Au, Marcus A1 - Zimmermann, T. A1 - Kleeberg, U. A1 - von Tümpling, W. A1 - Pröfrock, D T1 - Characteristic regional differences in trace element pattern of 2014 German North Sea surface Wadden sediments – A judge and assessment N2 - The European Marine Strategy Framework Directive (MSFD) requires good ecological status of the marine environment. This also includes the Wadden Sea located in the southeastern part of the North Sea and its chemical status of sediments. Based on results from campaigns conducted in the 1980s, 32 surface sediment samples were taken in 2014 to check whether the sampling strategy required for characterizing the trace element content in sediments is representative and to determine the degree of pollution and potential changes over the last decades. For this purpose the elemental mass fractions of 42 elements were assessed in the ≤20 μm grain size fraction of the surface sediments. Based on cluster analysis a clear correlation between the element distribution and the geographical location of the sampling locations of the German Wadden Sea could be found. As a result of the principal component analysis, three sub-catchments were significantly separated from each other by the characteristic element distributions in the sediments (Norderney and Weser, Elbe and offshore areas, and North Friesland). With the help of discriminant analysis, the classification was confirmed unambiguously. Small anomalies, such as potentially contaminated sites from WWII, could be identified. This proved that the sampling strategy for sediment characterization with reference to trace elements in the Wadden Sea of the German Bight is representative. The impact of regulation and changes on the overall sediment quality is most evident when looking at the environmentally critical elements such as As, Cd, Hg, and Cr. For these elements the mean mass fractions show a significant reduction over the last three decades. Current sediments feature only slightly elevated mass fractions of Ag, Cd, Ce, Cs, Nd, Pb and Se at some sampling locations. KW - Wadden Sea KW - Trace Elements KW - North Sea KW - Statistics PY - 2022 U6 - https://doi.org/10.1016/j.marpolbul.2022.114208 VL - 184 IS - 114208 SP - 1 EP - 9 PB - Elsevier Ltd. AN - OPUS4-56550 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Zerbst, Uwe A1 - Madia, Mauro A1 - Klinger, Christian A1 - Bettge, Dirk A1 - Murakami, Y. T1 - Defects as a root cause of fatigue failure of metallic components. II: Non-metallic inclusions N2 - This second part of the review on defects as root cause of fatigue failure comprises the origin, the nature and the effects of non-metallic inclusions. Topics addressed are the different kinds of inclusions formed during the manufacturing process, various types of mis-match causing local stresses and, as a consequence, fatigue crack initiation, and effects of characteristics such as size, morphology, localization, spatial distribution and orientation of the defects on the fatigue behavior. Methods for inclusion counting and sizing are discussed along with statistical aspects necessary to be considered when evaluating structural components. KW - Non-metallic inclusions KW - Mis-match KW - Inclusion size KW - Inclusion cluster KW - Statistics PY - 2019 U6 - https://doi.org/10.1016/j.engfailanal.2019.01.054 SN - 1350-6307 VL - 98 SP - 228 EP - 239 PB - Elsevier Ltd. AN - OPUS4-47459 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Maiwald, Michael T1 - Workshop: Basic Statistics for NMR N2 - qNMR provides the most universally applicable form of direct concentration or purity determination without need for reference materials of impurities or the calculation of response factors but only exhibiting suitable NMR properties. The workshop presents basic terms of statistics and uncertainty analysis, which are the basis for qNMR spectroscopy and data analysis such as, e.g., standard deviations, linear regression, significance tests, etc. and gives typical examples of applications in qNMR spectroscopy. T2 - qNMR-Summit 2018 CY - Würzburg, Germany DA - 10.10.2018 KW - Quantitative NMR Spectroscopy KW - Statistics KW - Quality Assurance KW - NMR validation KW - qNMR PY - 2018 AN - OPUS4-46368 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Becker, Ben T1 - Uncertainty’s of statistical assessments N2 - Uncertainty’s of statistical assessments of test results from composite cylinders. T2 - Fibremod Training unit #5 CY - Berlin, Germany DA - 05.10.2017 KW - Statistics KW - Uncertainty KW - Composite cylinder PY - 2017 AN - OPUS4-42500 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Becker, Ben T1 - Basics of statistic N2 - Basic methods and concepts of statistics. An introduction into statistical models, distribution functions and confirmatory data analyses. T2 - Fibremod Training unit #5 CY - Berlin, Germany DA - 5.10.2017 KW - Fibremod KW - Statistics KW - Cylinder PY - 2017 AN - OPUS4-42494 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Becker, Ben T1 - Statistical safety assessment of composite cylinders N2 - Statistical safety assessment of composite cylinders in terms of load cycle and burst testing. Showing the influence of test conditions and parameters on test results. Introduction into BAM – Tool for safety assessment. T2 - Fibremod Training unit #5 CY - Berlin, Germany DA - 05.10.2017 KW - Safety assessment KW - Statistics KW - Composite cylinder PY - 2017 AN - OPUS4-42497 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - BOOK A1 - Mair, Georg T1 - Safety Assessment of Composite Cylinders for Gas Storage by Statistical Methods N2 - Featuring a detailed analysis of current approval requirements and the relevant safety assessment methods for gas cylinders in general and with main focus on composite cylinders for storing ompressed natural gas and hydrogen, this book demonstrates how current regulations and standards limit the ability to reduce cost and weight. Based on this data, it then highlights the potential offered by the proposed approval procedure based on probabilistic safety assessment. After addressing the economic potential of probabilistic safety assessments, the book details working procedures and improving cycles and (slow) bursts as methods for assessing residual strength. It then discusses methods for statistically evaluating test data, as well as sample- size and distribution character considerations. A definition of sample strength is elaborated in terms of the performance sheets developed by the author. On this basis, it discusses safety as a property of service life and interpreted as an issue of degradation, and explores aspects of artificial aging for simulating the end-of-life reliability level. Lastly, the book considers control and inspection aspects: quality of production, degradation prediction using destructive sample tests parallel to operation, retesting periods and correcting for underand overestimates of safe lifetime. Presented in schematic diagrams, illustrations and tables, this information enables manufacturers and operators to use this new approach in practice and supports the improvement of current regulations and standards. KW - Probabilistic KW - Statistics KW - Slow burst testing KW - Fire engulfment KW - Crash loads KW - Degradation KW - Production scatter KW - Operational loads KW - Residual strength KW - Service life KW - Design life KW - Safety KW - Risk KW - Consequences KW - Failure rate KW - Survival rate KW - Confidence level KW - Acceptance rate PY - 2017 SN - 978-3-319-49708-2 SN - 978-3-319-49710-5 U6 - https://doi.org/10.1007/978-3-319-49710-5 VL - 2017 SP - I ; 1 EP - XXI; 269 PB - Springer International Publishing CY - Cham, Switzerland ET - 1. AN - OPUS4-42324 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CHAP A1 - Bettencourt da Silva, R. A1 - Bulska, E. A1 - Godlewska-Zytkiewicz, B. A1 - Hedrich, Martina A1 - Majcen, N. A1 - Magnusson, B. A1 - Marincic, S. A1 - Papadakis, I. A1 - Patriarca, M. A1 - Vassileva, E. A1 - Taylor, P. ED - Majcen, N. ED - Gegevicius, V. T1 - Measurement uncertainty and statistics N2 - TrainMiC® is a European programme for lifelong learning on how to interpret the metrological requirements in chemistry. It is operational across many parts of Europe via national teams. These teams use shareware pedagogic tools which have been harmonised at European level through the joint effort of many experts across Europe working as an editorial board. The material has been translated into 14 different languages. This report includes four TrainMiC® presentations: 1. Uncertainty of measurement — Part I Principles; 2. Uncertainty of measurement — Part II Approaches to evaluation; 3. Statistics for analytical chemistry — Part I; and 4. Statistics for analytical chemistry — Part II KW - Chemistry KW - Statistical method KW - Scientific research KW - Materials technology KW - Research report KW - Measurement uncertainty KW - Statistics PY - 2013 SN - 978-92-79-23070-7 U6 - https://doi.org/10.2787/5825 SN - 1018-5593 IS - JRC 68476 SP - Chapter 1-4, 19-230 AN - OPUS4-32534 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Bremser, Wolfram A1 - Lücke, F.-K. A1 - Urmetzer, C. A1 - Fuchs, E. A1 - Leist, U. T1 - An approach to integrated data assessment in a proficiency test on the enumeration of Escherichia coli KW - Bias KW - Data assessment KW - Escherichia coli KW - Precision KW - Proficiency testing KW - Statistics PY - 2011 U6 - https://doi.org/10.1111/j.1365-2672.2010.04866.x SN - 1364-5072 VL - 110 IS - 1 SP - 128 EP - 138 PB - Wiley-Blackwell CY - Malden, Mass., USA AN - OPUS4-22649 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -