Logo of Humboldt-Universität zu BerlinLogo of Humboldt-Universität zu Berlin
edoc-Server
Open-Access-Publikationsserver der Humboldt-Universität
de|en
Header image: facade of Humboldt-Universität zu Berlin
View Item 
  • edoc-Server Home
  • Schriftenreihen und Sammelbände
  • Fakultäten und Institute der HU
  • Wirtschaftswissenschaftliche Fakultät
  • Sonderforschungsbereich 649: Ökonomisches Risiko
  • View Item
  • edoc-Server Home
  • Schriftenreihen und Sammelbände
  • Fakultäten und Institute der HU
  • Wirtschaftswissenschaftliche Fakultät
  • Sonderforschungsbereich 649: Ökonomisches Risiko
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.
All of edoc-ServerCommunity & CollectionTitleAuthorSubjectThis CollectionTitleAuthorSubject
PublishLoginRegisterHelp
StatisticsView Usage Statistics
All of edoc-ServerCommunity & CollectionTitleAuthorSubjectThis CollectionTitleAuthorSubject
PublishLoginRegisterHelp
StatisticsView Usage Statistics
View Item 
  • edoc-Server Home
  • Schriftenreihen und Sammelbände
  • Fakultäten und Institute der HU
  • Wirtschaftswissenschaftliche Fakultät
  • Sonderforschungsbereich 649: Ökonomisches Risiko
  • View Item
  • edoc-Server Home
  • Schriftenreihen und Sammelbände
  • Fakultäten und Institute der HU
  • Wirtschaftswissenschaftliche Fakultät
  • Sonderforschungsbereich 649: Ökonomisches Risiko
  • View Item
2007-11-21Buch DOI: 10.18452/4082
Embedding R in the Mediawiki
Klinke, Sigbert
Zlatkin-Troitschanskaia, Olga
Teaching statistics to students in our area of economics and educational science often brings about the problem that students have either forgotten their statistical knowledge, or have taken different classes than the ones we offer in basic statistics. We therefore need some kind of statistical dictionary where we, as teachers, can refer to a common base and where students can look up specific terms. The Wikipedia - a general online encyclopaedia - compelled us to use a wiki for our dictionary. While the Wikipedia contains a large number of statistical terms, these are often too long and detailed to be visual displayed in lectures very well and some more specific terms are not included.
Files in this item
Thumbnail
61.pdf — Adobe PDF — 982.9 Kb
MD5: cca52f4eca5a1b94de5db55ad2fa779e
Cite
BibTeX
EndNote
RIS
InCopyright
Details
DINI-Zertifikat 2019OpenAIRE validatedORCID Consortium
Imprint Policy Contact Data Privacy Statement
A service of University Library and Computer and Media Service
© Humboldt-Universität zu Berlin
 
DOI
10.18452/4082
Permanent URL
https://doi.org/10.18452/4082
HTML
<a href="https://doi.org/10.18452/4082">https://doi.org/10.18452/4082</a>