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dc.contributor.author
Meyer, Daniel W.
dc.date.accessioned
2018-12-20T17:27:24Z
dc.date.available
2018-06-14T06:49:51Z
dc.date.available
2018-06-14T07:09:26Z
dc.date.available
2018-09-27T13:42:34Z
dc.date.available
2018-11-01T17:13:21Z
dc.date.available
2018-12-20T17:27:24Z
dc.date.issued
2018
dc.identifier.issn
1061-8600
dc.identifier.issn
1537-2715
dc.identifier.other
10.1080/10618600.2018.1482768
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/269940
dc.language.iso
en
en_US
dc.publisher
Taylor & Francis
en_US
dc.subject
Bootstrap
en_US
dc.subject
Sampling
en_US
dc.subject
Big data
en_US
dc.title
(Un)Conditional Sample Generation Based on Distribution Element Trees
en_US
dc.type
Journal Article
dc.date.published
2018-10-17
ethz.journal.title
Journal of Computational and Graphical Statistics
ethz.journal.volume
27
en_US
ethz.journal.issue
4
en_US
ethz.pages.start
940
en_US
ethz.pages.end
946
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.publication.place
London
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02130 - Dep. Maschinenbau und Verfahrenstechnik / Dep. of Mechanical and Process Eng.::02628 - Institut für Fluiddynamik / Institute of Fluid Dynamics::03644 - Jenny, Patrick / Jenny, Patrick
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02130 - Dep. Maschinenbau und Verfahrenstechnik / Dep. of Mechanical and Process Eng.::02628 - Institut für Fluiddynamik / Institute of Fluid Dynamics::03644 - Jenny, Patrick / Jenny, Patrick
en_US
ethz.date.deposited
2018-06-14T06:49:53Z
ethz.source
FORM
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2018-12-20T17:27:34Z
ethz.rosetta.lastUpdated
2019-01-03T13:39:22Z
ethz.rosetta.versionExported
true
ethz.COinS
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