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The following journals are considered open access: . Bayesian Analysis; Brazilian Journal of Probability and Statistics; Chilean Journal of Statistics; Electronic Journal of Statistics
This is a list of open-access journals by field. The list contains notable journals which have a policy of full open access. It does not include delayed open access journals, hybrid open access journals, or related collections or indexing services.
FREE Resources: 3 articles every 2 weeks (Register and Read Program, archived journals). Also, early journals (prior to 1923 in US, 1870 elsewhere) free, no registry necessary. Free and Subscription JSTOR [88] Jurn: Multidisciplinary Jurn is a free-to-use online search tool for finding and downloading free full-text scholarly works.
The Journal of Modern Applied Statistical Methods is a biannual peer-reviewed open access journal. [1] It was established in 2002 by Shlomo Sawilowsky, and is currently published by the Wayne State University Library System in Detroit, MI. The Current Index to Statistics classifies it as one of over 160 core statistics journals. [2]
REVSTAT is a peer-reviewed open access scientific journal that publishes papers related to statistics. It is published in English by the Instituto Nacional de Estatística, the national statistical office of Portugal. The journal was established in 2003, when it replaced the journal Revista de Estatística. It publishes two issues each year ...
The Journal of Statistics and Data Science Education is a triannual open access peer-reviewed academic journal.It was established in 1992 at North Carolina State University by E. Jacquelin Dietz as the Journal of Statistics Education, obtaining its current title in 2020. [1]
A free preprint service for electrochemistry and solid state science and technology >100 2018 Center for Open Science: EdArXiv: Education: A Preprint Server For The Education Research Community >100 2019 Center for Open Science: engrXiv [12] Engineering: Open archive of engineering preprints >1,000 2016 Open Engineering Inc: ESSOAr: Earth science
Description: Extensive exposition of statistical decision theory, statistics, and decision analysis from a Bayesian standpoint. Many examples and problems come from business and economics. Importance: Greatly extended the scope of applied Bayesian statistics by using conjugate priors for exponential families. Extensive treatment of sequential ...