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| Scandinavian Journal of Statistics | |
|---|---|
| Title | Scandinavian Journal of Statistics |
| Discipline | Statistics |
| Language | English |
| Publisher | Wiley-Blackwell |
| Country | United Kingdom |
| Frequency | Quarterly |
| History | 1974–present |
| Issn | 0303-6898 |
| Eissn | 1467-9469 |
Scandinavian Journal of Statistics is a peer-reviewed scientific journal covering research in statistical theory and methods. It serves as a venue for contributions from researchers affiliated with institutions across Europe and beyond, attracting submissions from authors connected to universities, national laboratories, and international research organizations. The journal is associated with societies and professional bodies and is recognized in citation indices and bibliographic databases.
The journal was founded in the early 1970s amid developments in postwar academic institutions such as University of Copenhagen, Uppsala University, University of Oslo, Stockholm University, and Helsinki University that fostered regional collaboration. Its early editorial leadership included scholars who had worked or collaborated with research centers like Centre for Mathematical Sciences, Lund and institutes influenced by figures from Royal Swedish Academy of Sciences and Norwegian Academy of Science and Letters. During the 1980s and 1990s the journal expanded editorial ties to departments at University of Cambridge, University of Oxford, University of Edinburgh, Imperial College London, and research groups connected to conferences such as Bernoulli Society meetings and workshops at European Mathematical Society events. The publisher transition to Wiley-Blackwell placed it within a catalogue alongside publications like Journal of the Royal Statistical Society and Annals of Statistics.
The journal publishes original research on probability theory, statistical inference, and applied methodology, attracting manuscripts from researchers associated with institutions such as Princeton University, Harvard University, Stanford University, Massachusetts Institute of Technology, and University of California, Berkeley. Topical areas frequently represented include asymptotic theory investigated by authors with links to Courant Institute, survival analysis explored in work connected to Johns Hopkins University, and spatial statistics where contributors have ties to Norwegian Computing Center and Centre for Mathematical Sciences, Cambridge. Papers often reference computational approaches developed at centers like Los Alamos National Laboratory and algorithmic advances originating from laboratories such as Bell Labs.
The editorial board has historically comprised editors and associate editors who hold positions at universities and research institutes including University of Manchester, University College London, ETH Zurich, École Polytechnique, and University of Paris. Peer review follows standard practices used across journals published by Wiley-Blackwell and learned societies such as Royal Statistical Society and Institute of Mathematical Statistics, employing anonymous refereeing by experts drawn from networks centered on conferences like International Statistical Institute meetings and workshops sponsored by the European Research Council. Editorial decisions take into account recommendations from reviewers affiliated with laboratories such as CERN when interdisciplinary applications intersect with domains of physics or engineering at places like Delft University of Technology.
The journal is indexed in major bibliographic services and citation databases including Web of Science, Scopus, MathSciNet, and Zentralblatt MATH. It appears in aggregations used by libraries at institutions such as British Library, Library of Congress, National Library of Sweden, and university consortia including Consortium of European Research Libraries. Metadata for articles is harvested by services connected to CrossRef and listed in directories akin to Journal Citation Reports. Coverage in indexing platforms facilitates discovery by researchers at organizations like Max Planck Society and CNRS.
Scholars at departments such as University of Washington, University of Toronto, University of British Columbia, and McGill University cite articles from the journal in work on theoretical developments and applications. Citation metrics recorded in systems maintained by Clarivate and Elsevier reflect its role within the ecosystem that includes journals like Biometrika, Journal of Multivariate Analysis, and Statistical Science. The journal's influence is discussed at symposia hosted by bodies such as Royal Statistical Society and in review articles appearing in outlets connected to European Mathematical Society.
Notable contributions published in the journal include advances in limit theorems, inference for stochastic processes, and nonparametric estimation produced by authors affiliated with institutions such as Columbia University, Yale University, University of Chicago, and Northwestern University. Several papers have been referenced in monographs from publishers like Springer, Cambridge University Press, and Oxford University Press and cited in applied work at laboratories including Argonne National Laboratory and Sandia National Laboratories. Seminal articles have influenced subsequent research presented at meetings of the Institute of Mathematical Statistics and the Bernoulli Society.
The journal operates under a subscription model managed by Wiley-Blackwell with options for open access publication via article processing charges, a framework comparable to other titles such as Journal of the Royal Statistical Society and Biometrika. Institutional subscriptions are held by universities including University of Helsinki, Uppsala University, King's College London, and national consortia like BIBSAM. Authors may deposit preprints in repositories associated with organizations such as arXiv and conform to archiving policies coordinated with services like Portico and CLOCKSS.
Category:Statistics journals