About the journal.
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The International Journal of Statistics (IJS) is a peer-reviewed, open-access scholarly journal that publishes original research articles, review papers, theoretical contributions, and applied studies in the broad field of statistical science. The journal provides an international forum for researchers, academicians, and practitioners to present innovative statistical methodologies and meaningful applications across disciplines.

The aim of the International Journal of Statistics is to serve as a leading global platform for the dissemination of high-quality research and innovative statistical approaches. The journal is committed to advancing statistical theory, improving analytical methodologies, and promoting the effective use of statistics in scientific, social, economic, and technological research. IJS encourages intellectual exchange and interdisciplinary collaboration by publishing work that strengthens data-driven decision-making and quantitative understanding.

The International Journal of Statistics welcomes original and interdisciplinary research contributions and encourages submissions addressing both theoretical and applied aspects of statistics. Areas of interest include, but are not limited to:

• Probability theory and statistical inference
• Regression analysis, multivariate analysis, and time-series modeling
• Bayesian statistics and non-parametric methods
• Computational statistics and statistical software applications
• Machine learning and data science from a statistical perspective
• Biostatistics, epidemiology, and health statistics
• Econometrics, financial statistics, and actuarial science
• Environmental, agricultural, and industrial statistics
• Statistical applications in social sciences, engineering, and natural sciences

The journal particularly values research that bridges statistical theory with real-world applications, offering practical insights into complex data structures and contemporary analytical challenges.

All accepted articles are published on a rolling basis, with immediate inclusion in the current volume’s Table of Contents. This publication model ensures timely dissemination, enhanced visibility, and rapid accessibility of research findings to the global scholarly community.