Statistical Theory and Applications in Science, Engineering and Economics
This paper discusses the design of the heat exchanger and the AM technique used to fabricate a prototype. The manuscript will show via CFD analyses, how the heat transfer area of the unit was improved 18% and the overall heat transfer coefficient as increased by 40% over a traditional round tube heat exchanger with an identical footprint.
ISSN: 1386-1999 (Print) 1572-915X (Online)
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![Extreme Conditions Design Theory Extreme Conditions Design Theory](/uploads/1/2/5/6/125613779/339497898.jpg)
Editor-in-Chief:
Thomas Mikosch, University of Copenhagen
Extremes publishes original research on all aspects of statistical extreme value theory and its applications in science, engineering, economics, and other fields. It also presents authoritative reviews and case studies of theoretical advances and of extreme value methods and problems in important applied areas.
Previously scattered across more general probability journals, statistical extremes research now has a home with this journal. As a result, Extremes advances and accelerates research and applications by providing a unified forum for the best papers in the field. Applied scientists find comprehensive and up-to-date coverage of theoretical developments and specialists find authoritative discussions of urgent applied problems. Finally authors find the best medium for the dissemination and use of their results.
Peer review is conducted using Editorial ManagerĀ®, supported by a database of international experts. This database is shared with the journal, Statistical Inference for Stochastic Processes.
Browse Volumes & IssuesLatest Articles
- OriginalPaper
Tail asymptotics for Shepp-statistics of Brownian motion in (mathbb {R}^{d})
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Robust quantile estimation under bivariate extreme value models
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Trend detection for heteroscedastic extremes
- Impact Factor1.778
- Available1998 - 2019
- Volumes22
- Issues84
- Articles512
- Open Access39 Articles
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- Journal Title
- Extremes
- Coverage
- Volume 1 / 1998 - Volume 22 / 2019
- Print ISSN
- 1386-1999
- Online ISSN
- 1572-915X
- Publisher
- Springer US
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