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AStA Advances in Statistical Analysis

A Journal of the German Statistical Society

Publishing model:

Overview

AStA Advances in Statistical Analysis is a quarterly journal that publishes original contributions on statistical methodology, applications, and review articles.

  • Official journal of the German Statistical Society.
  • Examines exciting new methodological developments in traditional areas of research.
  • Contributions at the interface with data science, statistical learning, and machine learning are welcome.
  • Encourages submissions from diverse application areas including social sciences, business, economics, engineering, environmental sciences, and life sciences.  
  • Comprised of three designated sections: Statistical Applications, Statistical Methodology, and Statistical Reviews.

This is a transformative journal, you may have access to funding.

Co-Editors
  • Harry Haupt,
  • Yarema Okhrin
Journal Impact Factor
1.4 (2023)
5-year Journal Impact Factor
1.3 (2023)
Submission to first decision (median)
28 days
Downloads
114,587 (2023)

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Journal information

Electronic ISSN
1863-818X
Print ISSN
1863-8171
Abstracted and indexed in
  1. ANVUR
  2. Australian Business Deans Council (ABDC) Journal Quality List
  3. BFI List
  4. Baidu
  5. CLOCKSS
  6. CNKI
  7. CNPIEC
  8. Current Index to Statistics
  9. Dimensions
  10. EBSCO
  11. EconLit
  12. Google Scholar
  13. Japanese Science and Technology Agency (JST)
  14. Mathematical Reviews
  15. Naver
  16. Norwegian Register for Scientific Journals and Series
  17. OCLC WorldCat Discovery Service
  18. Portico
  19. ProQuest
  20. Research Papers in Economics (RePEc)
  21. SCImago
  22. SCOPUS
  23. Science Citation Index Expanded (SCIE)
  24. TD Net Discovery Service
  25. UGC-CARE List (India)
  26. Wanfang
  27. zbMATH
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© German Statistical Society

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