Mathematical Methods of Statistics is an is an international peer reviewed journal dedicated to the mathematical foundations of statistical theory. It primarily publishes research papers with complete proofs and, occasionally, review papers on particular problems of statistics. Papers dealing with applications of statistics are also published if they contain new theoretical developments to the underlying statistical methods. The journal provides an outlet for research in advanced statistical methodology and for studies where such methodology is effectively used or which stimulate its further development.

PEER REVIEW

Mathematical Methods of Statistics is a peer reviewed journal. We use a single blind peer review format. The rejection rate for submitted manuscripts in 2018 was 30%. The final decision on the acceptance of an article for publication is made by the Editor-in-Chief.

Any invited reviewer who feels unqualified or unable to review the manuscript due to the conflict of interests should promptly notify the editors and decline the invitation. Reviewers should formulate their statements clearly in a sound and reasoned way so that authors can use reviewer’s arguments to improve the manuscript. Personal criticism of the authors must be avoided. Reviewers should indicate in a review (i) any relevant published work that has not been cited by the authors, (ii) anything that has been reported in previous publications and not given appropriate reference or citation, (ii) any substantial similarity or overlap with any other manuscript (published or unpublished) of which they have personal knowledge.

  • Presents the asymptotic theory of estimation and hypotheses testing; sequential analysis; optimal stopping times and decisions; change point problems; regression analysis and anova
  • An outlet for research in advanced statistical methodology
  • Covers all areas of mathematical statistics

Journal information

Editor-in-Chief
  • Dmitry M. Chibisov
Publishing model
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2,594 (2019)
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This journal has 1 open access article

About this journal

Electronic ISSN
1934-8045
Print ISSN
1066-5307
Abstracted and indexed in
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  2. CNKI
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  7. Google Scholar
  8. INIS Atomindex
  9. Institute of Scientific and Technical Information of China
  10. Japanese Science and Technology Agency (JST)
  11. Mathematical Reviews
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  25. SCImago
  26. SCOPUS
  27. TD Net Discovery Service
  28. UGC-CARE List (India)
  29. zbMATH
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