Not the First Digit!
Using Benford's Law to Detect Fraudulent Scientific Data
dc.contributor.author
Diekmann, Andreas
dc.date.accessioned
2017-06-08T16:42:34Z
dc.date.available
2017-06-08T16:42:34Z
dc.date.issued
2007
dc.identifier.issn
0266-4763
dc.identifier.issn
1360-0532
dc.identifier.other
10.1080/02664760601004940
dc.identifier.uri
http://hdl.handle.net/20.500.11850/4705
dc.language.iso
en
dc.publisher
Taylor & Francis
dc.subject
Benford
dc.subject
first digit law
dc.subject
digital analysis
dc.subject
data fabrication
dc.subject
distribution of digits from regression coefficients
dc.title
Not the First Digit!
dc.type
Journal Article
ethz.title.subtitle
Using Benford's Law to Detect Fraudulent Scientific Data
ethz.journal.title
Journal of Applied Statistics
ethz.journal.volume
34
ethz.journal.issue
3
ethz.journal.abbreviated
J. appl. stat.
ethz.pages.start
321
ethz.pages.end
329
ethz.notes
Published online 1 April 2007.
ethz.identifier.nebis
000035985
ethz.publication.place
Abingdon
ethz.publication.status
published
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02045 - Dep. Geistes-, Sozial- u. Staatswiss. / Dep. of Humanities, Social and Pol.Sc.::03639 - Diekmann, Andreas (emeritus)
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02045 - Dep. Geistes-, Sozial- u. Staatswiss. / Dep. of Humanities, Social and Pol.Sc.::03639 - Diekmann, Andreas (emeritus)
ethz.relation.hasPart
10.3929/ethz-b-000310246
ethz.date.deposited
2017-06-08T16:43:07Z
ethz.source
ECIT
ethz.identifier.importid
imp59364b7eb0bbf42709
ethz.ecitpid
pub:14868
ethz.eth
yes
ethz.availability
Metadata only
ethz.rosetta.installDate
2017-07-13T00:50:49Z
ethz.rosetta.lastUpdated
2019-01-02T04:14:47Z
ethz.rosetta.versionExported
true
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Journal Article [128832]