TY - CHAP A1 - Pietsch, Wolfram T1 - A framework of quality function deployment T2 - Quality management / eds.: M. Ross ... (Software quality management ; 3,1) Y1 - 1995 SN - 1-85312-309-9 SP - 419 EP - 428 PB - Computational Mechanics Publ. CY - Southhampton ER - TY - JOUR A1 - Pietsch, Wolfram T1 - Augmenting voice of the customer analysis by analysis of belief JF - QFD-Forum Y1 - 2015 SN - 1431-6951 IS - 30 SP - 1 EP - 5 ER - TY - JOUR A1 - Palmer, J. W. A1 - Lindemann, Markus T1 - Business models and market mechanisms : evaluating efficiency in consumer electronic markets JF - Data base and advanced information systems. Bd. 34 (2003), H. 2 Y1 - 2003 SN - 0105-9912 SP - 23 EP - 38 ER - TY - JOUR A1 - Mueller, Tobias A1 - Segin, Alexander A1 - Weigand, Christoph A1 - Schmitt, Robert H. T1 - Feature selection for measurement models JF - International journal of quality & reliability management N2 - Purpose In the determination of the measurement uncertainty, the GUM procedure requires the building of a measurement model that establishes a functional relationship between the measurand and all influencing quantities. Since the effort of modelling as well as quantifying the measurement uncertainties depend on the number of influencing quantities considered, the aim of this study is to determine relevant influencing quantities and to remove irrelevant ones from the dataset. Design/methodology/approach In this work, it was investigated whether the effort of modelling for the determination of measurement uncertainty can be reduced by the use of feature selection (FS) methods. For this purpose, 9 different FS methods were tested on 16 artificial test datasets, whose properties (number of data points, number of features, complexity, features with low influence and redundant features) were varied via a design of experiments. Findings Based on a success metric, the stability, universality and complexity of the method, two FS methods could be identified that reliably identify relevant and irrelevant influencing quantities for a measurement model. Originality/value For the first time, FS methods were applied to datasets with properties of classical measurement processes. The simulation-based results serve as a basis for further research in the field of FS for measurement models. The identified algorithms will be applied to real measurement processes in the future. KW - Feature selection KW - Modelling KW - Measurement models KW - Measurement uncertainty Y1 - 2022 U6 - http://dx.doi.org/10.1108/IJQRM-07-2021-0245 SN - 0265-671X IS - Vol. ahead-of-print, No. ahead-of-print. PB - Emerald Group Publishing Limited CY - Bingley ER - TY - JOUR A1 - Moosdorf, Andreas T1 - It’s not just the Talent, it’s the Knowledge Transfer Method JF - GC Ticker Y1 - 2009 IS - 1 SP - 16 EP - 16 ER - TY - BOOK A1 - Moosdorf, Andreas T1 - The determinants of international knowledge transfer effectiveness - conceptual advances and empirical verification Y1 - 2008 N1 - The University of Leeds > Leeds University Business School. Thesis (PhD) ER - TY - JOUR A1 - Mischke, Winfried T1 - Kurzkommentierung der §§ 433, 436, 446 - 453, 474 - 479 BGB JF - LexisNexis : Elektronische Ressource / Recht (2009) Y1 - 2009 ER - TY - JOUR A1 - Mischke, Winfried T1 - Die Garantie im Kaufrecht JF - Betriebs-Berater. 50 (1995), H. 22 Y1 - 1995 SN - 0340-7918 SP - 1093 EP - 1096 ER - TY - BOOK A1 - Maercker, Gisela T1 - Efficient estimation in AR models with ARCH errors Y1 - 1995 N1 - Bericht // Institute für Mathematik, Technische Universität Braunschweig ; 95,10 PB - Institute für Mathematik, Techn. Univ. CY - Braunschweig ER - TY - BOOK A1 - Maercker, Gisela T1 - Statistical inference in conditional heteroskedastic autoregressive models Y1 - 1997 SN - 3-8265-2486-1 N1 - Berichte aus der Mathematik ; Zugl.: Braunschweig, Techn. Univ., Diss., 1996 PB - Shaker CY - Aachen ER -