Author Guidelines

SORT accepts for publication only original articles that have not been submitted simultaneously to any other journal in the areas of statistics, operations research, official statistics or biometrics.

Articles should be preferably applied and may include computational or educational elements. Publication will be exclusively in English. All articles will be forwarded for systematic peer review by independent specialists and/or members of the Editorial Board, except for those articles specifically invited by the journal or reprinted with permission. Reviewer comments will be sent to the first corresponding author if changes are requested in form or content.

To submit an article, the author must upload it in PDF format.

The article should be prepared in double-spaced format, using a 12-point typeface.

The title page must contain the following items: title, name of the author(s), professional affiliation and complete address, and an abstract (75–100 words) followed by the keywords and MSC2000 classification of the American Mathematical Society.

Before submitting an article, the author(s) would be well advised to ensure that the text uses correct English.

Bibliographic references within the text must follow this format: author surname followed by the year of publication in parentheses [i.e., Mahalanobis (1936), Rao (1982b)]. The complete reference citations should be listed alphabetically at the end of the article, with multiple publications by a single author listed chronologically. Examples of reference formats are as follows:

  • Article: Casella, G. and Robert, C. (1998). Post-processing accept-reject samples: recycling and rescaling. Journal of Computational and Graphical Statistics, 7, 139–157.
  • Book: Gelman, A., Carlin, J. B., Stern, H. S. and Rubin, D. B. (2003). Bayesian Data Analysis, 2nd Ed. Chapman & Hall / CRC, New York.
  • Chapter in book: Engelmann, B. (2006). Measures of a rating's discriminative power-applications and limitations. In: Engelmann, B. and Rauhmeier, R. (eds), The Basel Risk Parameters: Estimation, Validation, and Stress Testing. Springer, New York.
  • Online article (put issue or page numbers and last accessed date): Marek, M. and Lesaffre, E. (2011). Hierarchical Generalized Linear Models: The R Package HGLMMM. Journal of Statistical Software, 39 (13). http://www.jstatsoft.org/v39/i13. Last accessed 28 March 2011.

Explanatory footnotes should be numbered sequentially and placed at the bottom of the corresponding page. Tables and figures should also be numbered sequentially.

Once the article has been accepted, the journal editorial office will contact the author with instructions about this final version, which should be submitted using LaTeX. The journal secretary will provide authors with LaTeX templates and appropriate references to the MSC2000 classification of the American Mathematical Society. All the submissions should be handled by RACO (Revistes Catalanes en Accés Obert) website.

New Authors: please register. Upon successful registration you will be sent an e-mail with instructions to verify your registration.

Submission Preparation Checklist

As part of the submission process, authors are required to check off their submission's compliance with all of the following items, and submissions may be returned to authors that do not adhere to these guidelines.

  1. The submitted manuscript follows the guidelines to authors published by SORT
  2. Published articles are under a Creative Commons License BY-NC-ND
  3. Font size is 12 point
  4. Text is double-spaced
  5. Title page includes title, name(s) of author(s), professional affiliation(s), complete address of corresponding author
  6. Abstract is 75–100 words and contains no notation, no references and no abbreviations
  7. Keywords and MSC2000 classification have been provided
  8. Bibliographic references are according to SORT's prescribed format
  9. English spelling and grammar have been checked
  10. Manuscript is submitted in PDF format

SORT Statistics and Operations Research Transactions

Institut d'Estadística de Catalunya (Idescat)

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Tel. +34-93.557.30.76Fax +34-93.557.30.01

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