Mathematical Methods of Statistics
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 2017 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appropriate reference or citation, (ii) any substantial similarity or overlap with any other manuscript (published or unpublished) of which they have personal knowledge.
B. Levit (October 2018)
Asymptotic Distribution of Least Squares Estimators for Linear Models with Dependent Errors: Regular Designs
- Journal Title
- Mathematical Methods of Statistics
- Volume 16 / 2007 - Volume 27 / 2018
- Print ISSN
- Online ISSN
- Pleiades Publishing
- Additional Links
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