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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. The journal is indexed in the Elsevier Bibliographic Database, EMBASE, Compendex, Geobase, PsychInfo, ScienceDirect, and Scopus. It is also listed in the Encyclopedia of Measurement and Statistics[3] and Cabells.[4]

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. ^ 2006, Mahwah, NJ: Sage
  4. ^ http://www.cabells.com/index.aspx
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