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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.

ISSN: 3068-8140

Current Issue

Vol. 1 No. 1 (2025)
Published: 2025-07-10

Articles

  • Analyzing Real Data by a New Heavy-Tailed Statistical Model

    Ahmed M. Gemeay, Thatayaone Moakofi, Oluwafemi Samson Balogun, Egemen Ozkan, Md. Moyazzem Hossain
    1-24
    DOI: https://doi.org/10.64389/mjs.2025.01108

  • Fitting Real Data Sets by a New Version of Gompertz Distribution

    Laxmi Prasad Sapkota, Vijay Kumar, Getachew Tekle, Hleil Alrweili, Manahil SidAhmed Mustafa, M. Yusuf
    25-48
    DOI: https://doi.org/10.64389/mjs.2025.01109

  • Fundamental Properties of the Characteristic Function using the Compound Poisson Distribution as the Sum of the Gamma Model

    Meraou M. A., Noriah M. Al-Kandari, Raqab Z. Mohammad
    49-57
    DOI: https://doi.org/10.64389/mjs.2025.01110

  • New Modified Liu Estimators to Handle the Multicollinearity in the Beta Regression Model: Simulation and Applications

    Ali T. Hammad, Eslam H. Hafez, Usman Shahzad, Elif Yıldırım, Ehab M. Almetwally, B. M. Golam Kibria
    58-79
    DOI: https://doi.org/10.64389/mjs.2025.01111

  • Development and Applications of a New Hybrid Weibull-Inverse Weibull Distribution

    Nooruldeen A. Noori, Kamal Najim Abdullah, Mundher A. khaleel
    80-103
    DOI: https://doi.org/10.64389/mjs.2025.01112
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