Refine
Year of publication
- 2018 (255) (remove)
Document Type
- Article (124)
- Conference Proceeding (77)
- Part of a Book (30)
- Book (12)
- Working Paper (3)
- Doctoral Thesis (2)
- Other (2)
- Patent (2)
- Part of Periodical (2)
- Report (1)
Keywords
- Datenschutz (2)
- Digitale Transformation (2)
- Energy efficiency (2)
- Engineering optimization (2)
- Literaturanalyse (2)
- MINLP (2)
- Pump System (2)
- Serious Game (2)
- Water (2)
- Agility (1)
- Antarctica (1)
- Awareness (1)
- Bahadur efficiency (1)
- Bioethanol (1)
- Biorefinery (1)
- Bladder (1)
- Booster Stations (1)
- Buffering Capacity (1)
- CDG (1)
- Chance Constraint (1)
Institute
- Fachbereich Medizintechnik und Technomathematik (67)
- Fachbereich Elektrotechnik und Informationstechnik (44)
- IfB - Institut für Bioengineering (41)
- INB - Institut für Nano- und Biotechnologien (25)
- Fachbereich Luft- und Raumfahrttechnik (24)
- Fachbereich Maschinenbau und Mechatronik (24)
- Fachbereich Energietechnik (22)
- Fachbereich Wirtschaftswissenschaften (21)
- Fachbereich Chemie und Biotechnologie (18)
- Fachbereich Bauingenieurwesen (16)
- Fachbereich Architektur (8)
- ECSM European Center for Sustainable Mobility (6)
- Solar-Institut Jülich (5)
- Fachbereich Gestaltung (4)
- Institut fuer Angewandte Polymerchemie (3)
- MASKOR Institut für Mobile Autonome Systeme und Kognitive Robotik (2)
- Nowum-Energy (2)
- ZHQ - Bereich Hochschuldidaktik und Evaluation (2)
- FH Aachen (1)
A nonparametric goodness-of-fit test for random variables with values in a separable Hilbert space is investigated. To verify the null hypothesis that the data come from a specific distribution, an integral type test based on a Cramér-von-Mises statistic is suggested. The convergence in distribution of the test statistic under the null hypothesis is proved and the test's consistency is concluded. Moreover, properties under local alternatives are discussed. Applications are given for data of huge but finite dimension and for functional data in infinite dimensional spaces. A general approach enables the treatment of incomplete data. In simulation studies the test competes with alternative proposals.