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About the Journal

The Modern Journal of Statistics (MJS) is a leading international, peer-reviewed, open-access journal dedicated to advancing statistical science. Published biannually in July and January by Sphinx Scientific Press, MJS employs a rigorous double-blind peer-review process to ensure the highest academic standards. The journal emphasizes cutting-edge methodological and theoretical contributions in statistics, probability, and stochastic processes, as well as innovative applications across diverse scientific disciplines. These include, but are not limited to, biological and biomedical sciences, medicine, business, economics, social sciences, physics, data science, and engineering. By fostering the dissemination of high-quality research, MJS serves as a vital platform for statisticians, researchers, and practitioners worldwide, promoting interdisciplinary collaboration and the development of novel statistical methodologies.

Publisher: Sphinx Scientific Press

ISSN (Online): 3068-8140

Current Issue

Vol. 2 No. 2 (2026)
View Vol. 2 No. 2 (2026)
Published: 2026-07-01

Articles

  • A New Logarithmic Pie Power-G family of Distributions: Properties and Applications to Medical and Traffic Data

    Zubir Shah, Zubair Ahmad, Zahra Almaspoor, Faridoon Khan, Chrisogonus K. Onyekwere, Gadde Srinivasa Rao, Saima K‎. ‎Khosa
    129-158
    DOI: https://doi.org/10.64389/mjs.2026.02278

  • Designing of Multiple Dependent State Sampling Plan for Inverted Nadarajah-Haghighi distribution

    Sd. Jilani, Srinivasa Rao Gadde
    159-173
    DOI: https://doi.org/10.64389/mjs.2026.02271

  • An Analysis of the Relationship Between Production, Sales, and Export in the Indian Automobile Industry: Using Time Series

    Jyoti Yadav, Anu, Chitra Kumari
    1-13
    DOI: https://doi.org/10.64389/mjs.2026.02259

  • Limit-Cycle Behavior of the Exponentiated Exponential Autoregressive Model: Theory and Applications

    Khitam M. Shakir, Hiba H. Abdullah
    14-29
    DOI: https://doi.org/10.64389/mjs.2026.02261

  • Novel DUS Topp-Leone Burr-Hatke exponential model with properties and application to COVID-19 datasets

    U. F. Abbas, O. D. Adubisi
    30-56
    DOI: https://doi.org/10.64389/mjs.2026.02268

  • A New Extended Fréchet Distribution: Properties, Characterizations, Modeling, and Risk Analysis for Medical Data

    Haitham M. Yousof, G.G. Hamedani, M. Masoom Ali, Magdy Tork, Manal A. Abdelrahaman, Mohammed R. Alzahrani, Hassan Alsuhabi, Abdirashid M. Yousuf, Abdisalam Hassan Muse
    57-80
    DOI: https://doi.org/10.64389/mjs.2026.02260

  • A Novel Flexible Logarithmic Cosine-G Family of Distributions with Applications to Event Time Data

    Dr. Zubir Shah, Zubair Ahmad, Dr. Zahra Almaspoor, Dr. Faridoon Khan, Dr. Chrisogonus K. Onyekwere, Dr. Gadde Srinivasa Rao, Dr. Saima K‎. ‎Khosa
    81-102
    DOI: https://doi.org/10.64389/mjs.2026.02283

  • Topp-Leone Reduced Kies Distribution for Unit-Interval Data: Statistical Properties, Parameter Estimation, and Applications

    Ehinomen Emmanuel Ehizojie
    103-128
    DOI: https://doi.org/10.64389/mjs.2026.02275
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