Refine
Year of publication
- 2023 (77) (remove)
Document Type
- Article (36)
- Conference Proceeding (30)
- Part of a Book (5)
- Preprint (2)
- Book (1)
- Contribution to a Periodical (1)
- Habilitation (1)
- Talk (1)
Language
- English (77) (remove)
Has Fulltext
- no (77) (remove)
Keywords
- Natural language processing (3)
- Associated liquids (2)
- Diversity Management (2)
- Engineering Habitus (2)
- Future Skills (2)
- Information extraction (2)
- Interdisciplinarity (2)
- Organizational Culture (2)
- Power plants (2)
- Sustainability (2)
- ultrasound (2)
- (R)- or (S)- gamma-valerolactone (1)
- 4-hydroxy valeric acid (1)
- Academia (1)
- Active learning (1)
- Agent-based simulation (1)
- Agile development (1)
- Android (1)
- Anomaly detection (1)
- Anti-Bias (1)
Institute
- Fachbereich Medizintechnik und Technomathematik (21)
- Fachbereich Elektrotechnik und Informationstechnik (17)
- ECSM European Center for Sustainable Mobility (14)
- Fachbereich Luft- und Raumfahrttechnik (12)
- Fachbereich Energietechnik (10)
- Fachbereich Chemie und Biotechnologie (7)
- IfB - Institut für Bioengineering (7)
- Fachbereich Wirtschaftswissenschaften (6)
- MASKOR Institut für Mobile Autonome Systeme und Kognitive Robotik (6)
- Fachbereich Maschinenbau und Mechatronik (5)
- INB - Institut für Nano- und Biotechnologien (4)
- Kommission für Forschung und Entwicklung (3)
- Nowum-Energy (3)
- Solar-Institut Jülich (3)
- Institut fuer Angewandte Polymerchemie (2)
- Fachbereich Bauingenieurwesen (1)
The Cramér-von-Mises distance is applied to the distribution of the excess over a confidence level. Asymptotics of related statistics are investigated, and it is seen that the obtained limit distributions differ from the classical ones. For that reason, quantiles of the new limit distributions are given and new bootstrap techniques for approximation purposes are introduced and justified. The results motivate new one-sample goodness-of-fit tests for the distribution of the excess over a confidence level and a new confidence interval for the related fitting error. Simulation studies investigate size and power of the tests as well as coverage probabilities of the confidence interval in the finite sample case. A practice-oriented application of the Cramér-von-Mises tests is the determination of an appropriate confidence level for the fitting approach. The adoption of the idea to the well-known problem of threshold detection in the context of peaks over threshold modelling is sketched and illustrated by data examples.