Heuristic Methods for Checking the Normality of Measurement Data with Graphical and Numerical Tests
- In this contribution, we present heuristic methods for checking the normality of measurement data. First, the importance of this issue and the consequences of ignoring it for the interpretation and visualization of measurement results are explained. In addition, the basic knowledge of the normal distribution is provided. The main part describes and visualizes the selected graphical and analyticalIn this contribution, we present heuristic methods for checking the normality of measurement data. First, the importance of this issue and the consequences of ignoring it for the interpretation and visualization of measurement results are explained. In addition, the basic knowledge of the normal distribution is provided. The main part describes and visualizes the selected graphical and analytical tests utilizing a sample data set from a load cell. The article concludes with a comparison of the advantages and disadvantages of the different tests.…
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| Dokumentart: | Konferenzveröffentlichung |
|---|---|
| Art der Konferenzveröffentlichung: | Konferenzartikel |
| Zitierlink: | https://opus.hs-offenburg.de/11647 | Bibliografische Angaben |
| Titel (Englisch): | Heuristic Methods for Checking the Normality of Measurement Data with Graphical and Numerical Tests |
| Konferenzangaben: | 2025 IEEE Sensors Applications Symposium (08-10 July 2025 : Newcastle, United Kingdom) |
| Verfasserangaben: | Nikolai HangstStaff MemberORCiDGND, Thomas WendtStaff MemberORCiDGND, Stefan RupitschORCiD |
| Erscheinungsjahr: | 2025 |
| Verlagsort: | New York, USA |
| Verlag: | IEEE |
| Seitenanzahl: | 6 |
| Erste Seite: | 1 |
| Letzte Seite: | 6 |
| Titel des übergeordneten Werkes (Englisch): | 2025 IEEE Sensors Applications Symposium (SAS 2025) Proceedings |
| ISBN: | 979-8-3315-1194-4 (Print on Demand) |
| ISBN: | 979-8-3315-1193-7 (Electronisch) |
| ISSN: | 2994-9300 (Print on Demand) |
| ISSN: | 2766-3078 (Electronisch) |
| DOI: | https://doi.org/10.1109/SAS65169.2025.11105185 |
| URL: | https://ieeexplore.ieee.org/document/11105185 |
| Sprache: | Englisch | Inhaltliche Informationen |
| Fakultäten / Einrichtungen: | Fakultät Wirtschaft (W) |
| Forschung: | WLRI - Work-Life Robotics Institute |
| Sammlungen der Hochschule Offenburg: | Bibliografie |
| Freies Schlagwort / Tag: | Measurement data; Measurement errors; Normal distribution; Normality test; Statistic |
| Speicherung von Forschungsdaten: | Sonstiges | Formale Angaben |
| Relevanz für "Jahresbericht über Forschungsleistungen": | 1-fach | Konferenzbeitrag |
| Open-Access-Status: | Closed |
| Lizenz (Deutsch): |  Urheberrechtlich geschützt |
| Kommentar: | Peer-reviewed at the direction of IEEE Instrumentation and Measurement Society prior to the acceptance and publication. |