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  Robust analysis of trends in noisy tokamak confinement data using geodesic least squares regression

Verdoolaege, G., Shabbir, A., & Hornung, G. (2016). Robust analysis of trends in noisy tokamak confinement data using geodesic least squares regression. Review of Scientific Instruments, 87: 11D422. doi:10.1063/1.4960069.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-002C-5CBC-E Version Permalink: https://hdl.handle.net/21.11116/0000-0002-DF1A-7
Genre: Journal Article

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verdoolaege_robust.pdf (Supplementary material), 219KB
 
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http://dx.doi.org/10.1063/1.4960069 (Publisher version)
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http://hdl.handle.net/1854/LU-8065771 (Preprint)
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Uni Gent
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 Creators:
Verdoolaege, G.1, Author
Shabbir, A.1, 2, Author           
Hornung, G.1, Author
Affiliations:
1External Organizations, ou_persistent22              
2Tokamak Scenario Development (E1), Max Planck Institute for Plasma Physics, Max Planck Society, ou_1856321              

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Free keywords: Konferenzbeitrag
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Language(s): eng - English
 Dates: 2016
 Publication Status: Issued
 Pages: 3 p.
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 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1063/1.4960069
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Title: Review of Scientific Instruments
  Subtitle : 21st Topical Conference on High Temperature Plasma Diagnostics (HTPD 2016), Madison, WI, 2016-06-05 to 2016-06-09
Source Genre: Journal
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Publ. Info: Melville, NY : AIP Publishing
Pages: 11 Volume / Issue: 87 Sequence Number: 11D422 Start / End Page: - Identifier: ISSN: 0034-6748
CoNE: https://pure.mpg.de/cone/journals/resource/991042742033452