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About JMASM

The Journal of Modern Applied Statistical Methods is an independent, peer-reviewed, open access journal designed to provide an outlet for the scholarly works of applied nonparametric or parametric statisticians, data analysts, researchers, classical or modern psychometricians, and quantitative or qualitative methodologists/evaluators.

See About JMASM to learn more about the Journal.

Current Issue: Volume 18, Issue 2 (2019)

Invited Articles

Regular Articles

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Empirical Comparison of Tests for One-Factor ANOVA Under Heterogeneity and Non-Normality: A Monte Carlo Study
Diep Nguyen, Eunsook Kim, Yan Wang, Thanh Vinh Pham, Yi-Hsin Chen, and Jeffrey D. Kromrey

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Bayesian Estimation of the Parameters of Discrete Weibull Type (I) Distribution
Samir Kamel Ashour and Mohamed Salem Abdelwahab Muiftah

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Even Order Ranked Set Sampling with Auxiliary Variable
Muhammad Tayyab, Muhammad Noor ul-Amin, and Muhammad Hanif

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A New Two-Parametric ‘Useful’ Fuzzy Information Measure and its Properties
Saima Manzoor Sofi, Safina Peerzada, and Mirza Abdul Khalique Baig

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Logistic Regression Under Sparse Data Conditions
David A. Walker and Thomas J. Smith

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Robustness of the EWMA Sampling Plan to Non-Normality
Uttama Mishra, S. Siddiqui, and J. R. Singh

Quantitative Program Evaluation

Emerging Scholars

Algorithms and Code

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JMASM 52: Extremely Efficient Permutation and Bootstrap Hypothesis Tests Using R
Christina Chatzipantsiou, Marios Dimitriadis, Manos Papadakis, and Michail Tsagris

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JMASM 53: MicceriRD
Michael Lance

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JMASM 54: A Comparison of Four Different Estimation Approaches For Prognostic Survival Oral Cancer Model
Wan Muhamad Amir, Muhammad Azeem, Masitah Hayati Harun, Zalila Ali, and Mohamad Shafiq

JMASM 18(2) November 2019