Refine
Year of publication
- 2017 (258) (remove)
Institute
- Fachbereich Medizintechnik und Technomathematik (66)
- Fachbereich Elektrotechnik und Informationstechnik (37)
- IfB - Institut für Bioengineering (34)
- Fachbereich Luft- und Raumfahrttechnik (33)
- Fachbereich Wirtschaftswissenschaften (32)
- Fachbereich Energietechnik (27)
- INB - Institut für Nano- und Biotechnologien (27)
- Fachbereich Maschinenbau und Mechatronik (24)
- Fachbereich Bauingenieurwesen (14)
- Fachbereich Architektur (12)
Has Fulltext
- no (258) (remove)
Document Type
- Article (109)
- Conference Proceeding (86)
- Part of a Book (34)
- Book (13)
- Other (11)
- Report (2)
- Contribution to a Periodical (1)
- Doctoral Thesis (1)
- Patent (1)
Keywords
- Autonomous mobile robots (2)
- Gamification (2)
- Industry 4.0 (2)
- MASCOT (2)
- Multi-robot systems (2)
- Smart factory (2)
- 3D nonlinear finite element model (1)
- Acceptance tests (1)
- Ausfachungsmauerwerk (1)
- Automated Optimization (1)
Is part of the Bibliography
- no (258)
Neurophysiologisch ist das nicht alles zu erklären : Nahtoderfahrungen aus wissenschaftlicher Sicht
(2017)
Scientific questions
- How can a non-stationary heat offering in the commercial vehicle be used to reduce fuel consumption?
- Which potentials offer route and environmental information among with predicted speed and load trajectories to increase the efficiency of a ORC-System?
Methods
- Desktop bound holistic simulation model for a heavy duty truck incl. an ORC System
- Prediction of massflows, temperatures and mixture quality (AFR) of exhaust gas
Ein Garten im Weltraum
(2017)
In a special paired sample case, Hotelling’s T² test based on the differences of the paired random vectors is the likelihood ratio test for testing the hypothesis that the paired random vectors have the same mean; with respect to a special group of affine linear transformations it is the uniformly most powerful invariant test for the general alternative of a difference in mean. We present an elementary straightforward proof of this result. The likelihood ratio test for testing the hypothesis that the covariance structure is of the assumed special form is derived and discussed. Applications to real data are given.