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Analyzing European National Accounts Data for Detection of anomalous observation
Örebro University, Orebro University School of Business, Örebro University, Sweden.
2014 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Place, publisher, year, edition, pages
2014. , 23 p.
National Category
Probability Theory and Statistics
Identifiers
URN: urn:nbn:se:oru:diva-35667OAI: oai:DiVA.org:oru-35667DiVA: diva2:732308
Subject / course
Statistik
Supervisors
Examiners
Available from: 2014-07-03 Created: 2014-07-03 Last updated: 2014-07-03Bibliographically approved

Open Access in DiVA

Analyzing European National Accounts Data(911 kB)111 downloads
File information
File name FULLTEXT01.pdfFile size 911 kBChecksum SHA-512
cf5bddb162268d910fdf7b6927228190b66768a6ef88dddeac8478381a0813b5f266661e56c4425e97b3663cabd4d7812927771136294518cfbf7c1a352f7432
Type fulltextMimetype application/pdf

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Orebro University School of Business, Örebro University, Sweden
Probability Theory and Statistics

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Total: 111 downloads
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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf