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Journal of Modern Applied Statistical Methods

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Journal of Modern Applied Statistical Methods
DisciplineStatistics
LanguageEnglish
Edited byShlomo Sawilowsky
Publication details
History2002-present
Publisher
JMASM, Inc. (United States)
FrequencyBiannually
Yes
Standard abbreviations
ISO 4J. Mod. App. Stat. Meth.
Indexing
ISSN1538–9472
Links

The Journal of Modern Applied Statistical Methods is a biannual peer-reviewed open access journal.[1] It was established in 2002 by Shlomo Sawilowsky. The Current Index to Statistics classifies it as one of over 160 core statistics journals.[2] The journal appears both as a print and electronic journal. It publishes work pertaining to new statistical tests and the comparison of existing statistical tests, Monte Carlo; bootstrap, Jackknife, and resampling methods; nonparametric, robust, permutation, exact, and approximate randomization methods; and statistical algorithms, pseudorandom number generators, and simulation techniques.

Rankings

As of 2008, the journal was ranked by SCImago Journal Rank 83rd out of 91 in the category "Statistics and Probability",[3] and 21st out of 23 in the category of "Statistics, Probability, and Uncertainty".[4] In 2009, the journal was ranked as a "Class B" journal by the Australian Mathematical Society.[5] For comparison, out of 195 journals, 14 were ranked A*, 28 were ranked A, 54 were ranked B, and 96 were ranked C. The journal is indexed in Scopus and PsychINFO.

See also

References

  1. ^ Sawilowsky, S. (2006). Journal of Modern Applied Statistical Methods. In N. Salkind (Ed.), Encyclopedia of Measurement and Statistics, 2:499-500. Thousand Oaks, CA: SAGE Publications.
  2. ^ Current Index to Statistics Core Journals
  3. ^ SCImago Journal Rank
  4. ^ SCImago Journal Rank
  5. ^ Australian Mathematical Society Journal Ratings
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