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Journal of Modern Applied Statistical Methods : Impact Factor & More

eISSN: 1538-9472pISSN: 1538-9472

Aims and Scope of Journal of Modern Applied Statistical Methods

The Journal of Modern Applied Statistical Methods is a biannual peer-reviewed open access journal. 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. The journal originally appeared as a print and electronic journal through volume 8(1) in 2009, and subsequently as an electronic journal only. It publishes peer-reviewed work pertaining to new statistical tests and the comparison of existing statistical tests; 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, PsycINFO, ScienceDirect, and Scopus. It is also listed in the Encyclopedia of Measurement and Statistics and Cabells. Less

Key Metrics

CiteScore
0.8
SJR
Q3Statistics and Probability
SNIP
0.53
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Journal of Modern Applied Statistical Methods Journal Specifications

Indexed in the following public directories

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Overview
Publisher WAYNE STATE UNIV PRESS
Language English
Frequency Semi-annual
General Details
LanguageEnglish
FrequencySemi-annual
Publication Start Year2002
Publisher URLVisit website
Website URLVisit website
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Recently Published Papers in Journal of Modern Applied Statistical Methods

Bayesian Estimation of Coefficient Alpha Using a Normal Posterior: Non‑normal Distributions
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Extended Generalized Frechet (EGFr) Distribution: Properties and It Applications to Reliability Data
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Clean and Healthy Living Behavior Factors That Influence Environmental-Based Diseases in Lampung Province, Indonesia: A SEM-DWLS Analysis
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Machine Learning-based Book Recommendation Systems: A Comparative Study of CFNN and KNN Algorithms
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Bayesian Estimation of Coefficient Alpha Using a Normal Posterior: Non‑normal Distributions
  • 22 Apr 2026
  • Journal of Modern Applied Statistical Methods
Measuring Persistent Professor Effects in Ordinal University Grades: A Separation-Robust Alternative to Mixed-Effects Cumulative Logit
  • 14 Apr 2026
  • Journal of Modern Applied Statistical Methods
Monotone and Non-Monotone Hazard Rate Model: Its Application in Real Scenario
  • 26 Feb 2026
  • Journal of Modern Applied Statistical Methods
Extended Generalized Frechet (EGFr) Distribution: Properties and It Applications to Reliability Data
  • 29 Dec 2025
  • Journal of Modern Applied Statistical Methods
Clean and Healthy Living Behavior Factors That Influence Environmental-Based Diseases in Lampung Province, Indonesia: A SEM-DWLS Analysis
  • 17 Jul 2025
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Machine Learning-based Book Recommendation Systems: A Comparative Study of CFNN and KNN Algorithms
  • 19 Dec 2024
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