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  - Weigand, Christoph
T1  - Optimal Production Schedule for a K Products Single Machine Problem
JF  - Economic Quality Control. 9 (1994)
Y1  - 1994
SN  - 0940-5151
SP  - 91
EP  - 101
ER  - 
TY  - JOUR
A1  - Weigand, Christoph
T1  - Optimale Maschinenjustierung
JF  - Technische Hochschule <Ilmenau> / Bibliothek: Wissenschaftliche Zeitschrift. 37 (1991)
Y1  - 1991
SN  - 0043-6917
SP  - 167
EP  - 175
ER  - 
TY  - JOUR
A1  - Weigand, Christoph
T1  - A Solution to the Scheduling Problem Taking into Account Quality
JF  - Operations research '91 : extended abstracts of the 16th Symposium on Operations Research held at the University of Trier at September 9 - 11, 1991 / [GMÖOR]. Peter Gritzmann ... (eds.)
Y1  - 1991
SN  - 3790806080
N1  - Symposium on Operations Research ; (16, 1991, Trier)
SP  - 373
EP  - 375
PB  - Physica-Verl.
CY  - Heidelberg
ER  - 
TY  - JOUR
A1  - Weigand, Christoph
T1  - Optimal Adjustment Policies
JF  - Proceedings of the First Umeå-Würzburg Conference in Statistics : Kronlund Conference Center and University of Umeå, September 10 - 14, 1990 / ed. by Kurt Brännäs
Y1  - 1990
SN  - 91-7174-564-5
N1  - Umeå-Würzburg Conference in Statistics <1, 1990>
SP  - 147
EP  - 158
PB  - Univ. of Umeå
CY  - Umeå
ER  - 
TY  - BOOK
A1  - Weigand, Christoph
T1  - Statistik mit und ohne Zufall : eine anwendungsorientierte Einführung ; mit 10 Tabellen / Christoph Weigand
Y1  - 2006
SN  - 3-7908-1693-0
N1  - [Neuere Aufl. vorh.] https://doi.org/10.1007/978-3-662-59309-7
PB  - Physica-Verl.
CY  - Heidelberg
ER  - 
TY  - JOUR
A1  - Weigand, Christoph
T1  - Technically Optimal Inspection Policy with Arithmetical Adaption
JF  - IMA Journal of Management Mathematics. 14 (2003), H. 4
Y1  - 2003
SN  - 1471-678X
N1  - weitere ISSN 1471-6798 (E)
SP  - 357
EP  - 371
ER  - 
TY  - JOUR
A1  - Weigand, Christoph
T1  - Economically Optimal Inspection Policy with Geometrical Adaption
JF  - Journal of Applied Statistics. 30 (2003), H. 5
Y1  - 2003
SN  - 0266-4763
N1  - weitere ISSN 1360-0532 (E)
SP  - 555
EP  - 569
ER  - 
TY  - JOUR
A1  - Weigand, Christoph
T1  - Economically Optimal Inspection Policy with Arithmetical Adaption
JF  - Applied stochastic models and data analysis / [10th International Symposium on Applied Stochastic Models and Analysis, June 12-15 2001, Université Technologique de Compiègne] ; editors Gérard Govaert, Jacques Janssen, Nikolaos Limnios.
Y1  - 2001
N1  - ASDMA 2001
SP  - 1010
EP  - 1015
PB  - Université Technologique de Compiègne
CY  - Compiègne
ER  - 
TY  - JOUR
A1  - Weigand, Christoph
T1  - Economically Optimal Adaptive Inspection Policies
JF  - Economic Quality Control. 15 (2000), H. 1/2
Y1  - 2000
SN  - 0940-5151
N1  - Printausgabe vorhanden: 43 Z 711
SP  - 55
EP  - 77
ER  -