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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 as follows:

“Statistics and Probability Category," N =91 Journals: SJR[3]= 83rd, H index[4]= 68th, Citable documents[5]=15th.

“Statistics, Probability, and Uncertainty Category", N=23 Journals: SJR[6]=21st, H index[7]=15th, Citable documents[8]=10th.

In 2009, the journal was ranked as a "Class B" journal by the Australian Mathematical Society.[9] 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. ^ [1] SJR Statistics and Probability rank.
  4. ^ [2] SJR Statistics and Probability H index.
  5. ^ [3] SJR Statistics and Probability Citable documents rank.
  6. ^ [4]SJR Statistics, Probability, and Uncertainty rank.
  7. ^ [5] SJR Statistics, Probability, and Uncertainty H Index.
  8. ^ [6] SJR Statistics, Probability, and Uncertainty Citable documents.
  9. ^ Australian Mathematical Society Journal Ratings