About the Journal

The Journal of Modern Applied Statistical Methods (e-ISSN 2950-4600 & ISSN 1538-9472)   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.

Publisher Change Notice: As of January 2025, the journal Journal of Modern Applied Statistical Methods has transitioned its publishing operations from Netherlands Press to Scilight Press Pty Ltd. 


Current Issue

Articles

A BFGS-Based Simulation Study of Covariance Effects in a Trivariate Poisson Regression Model

Kassim Tawiah (Department of Mathematics and Statistics, University of Energy and Natural Resources, Sunyani P.O. Box 214, Ghana)
Nana Kena Frempong (Department of Statistics and Actuarial Science, Kwame Nkrumah University of Science and Technology, KNUST-Kumasi, Ghana)
Atinuke Olusola Adebanji (Department of Statistics and Actuarial Science, Kwame Nkrumah University of Science and Technology, KNUST-Kumasi, Ghana)
Richard Kwame Ansah (Department of Mathematics and Statistics, University of Energy and Natural Resources, Sunyani P.O. Box 214, Ghana)
Ophelia Baah (Nsoatre Presbyterian ‘B’ Junior High School, Nsoatre, Ghana)
DOI : 10.53941/jmasm.2026.100014

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A Bathtub Hazard Function Model Assuming a Mixture of Two Weibull Parametric Hazard Functions under a Bayesian Approach

Jorge Alberto Achcar (Social Medicine, Ribeirão Preto Medical School University of São Paulo, Av. Bandeirantes, 3900, Ribeirão Preto 14049-900, SP, Brazil)
Emerson Barili (Statistics, State University of Maringá, Av. Colombo, 5700, Maringá 87020-900, PA, Brazil)
DOI : 10.53941/jmasm.2026.100013

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When Do Logistic Regression and Generalized Maximum Entropy Agree? Evidence from Simulation Studies

Maharaj Singh (College of Nursing, Marquette University, Milwaukee, WI 53233, United States)
DOI : 10.53941/jmasm.2026.100012

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Capturing Change in a Rapidly Evolving World: A Composite Longitudinal Analysis Framework for Theorizing, Modeling, and Analyzing Change Using PLS-SEM

Saurabh Gupta (Department of Information Systems and Security, Kennesaw State University, Kennesaw, GA 30144, United States)
Tridib Bandyopadhyay (Department of Information Systems and Security, Kennesaw State University, Kennesaw, GA 30144, United States)
Reza Vaezi (Department of Information Systems and Security, Kennesaw State University, Kennesaw, GA 30144, United States)
DOI : 10.53941/jmasm.2026.100011

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A Novel Correction for the Multivariate Ljung-Box Test

Minhao Huang (Schmid College of Science and Technology, Chapman University, 1 University Drive, Orange, CA 92866, United States)
Cyril Rakovski (Schmid College of Science and Technology, Chapman University, 1 University Drive, Orange, CA 92866, United States)
Sidy Danioko (Schmid College of Science and Technology, Chapman University, 1 University Drive, Orange, CA 92866, United States)
DOI : 10.53941/jmasm.2026.100010

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Testing for Size-Biased Sampling in Lifetime Data

David E. Giles (Department of Economics, University of Victoria, Victoria, BC V8W 2Y2, Canada)
DOI : 10.53941/jmasm.2026.100009

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Rank-Based Item-Level Transformation for Harmonizing Multi-Scale Likert Data: A Comparative Evaluation

Carl Beitsayadeh (College of General Studies, University of Phoenix, Phoenix, AZ 85040-0723, United States)
Pamayla E. Darbyshire (College of Doctoral Studies, University of Phoenix, Phoenix, AZ 85040-0723, United States)
DOI : 10.53941/jmasm.2026.100008

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