Aim

The aim of the International Journal of Statistics (IJS) is to serve as a leading platform for the global dissemination of high-quality research in statistical science. The journal is dedicated to advancing statistical theory, methodology, and practical applications, fostering intellectual exchange and scholarly collaboration across disciplines. IJS encourages the publication of innovative research that enhances the understanding of complex data, promotes rigorous analytical methods, and supports data-driven decision-making in diverse scientific, social, and industrial contexts.

Scope

The International Journal of Statistics welcomes interdisciplinary research and submissions that explore both theoretical and applied aspects of statistics. The journal encourages work on contemporary statistical challenges, methodological innovations, and practical applications in areas including, but not limited to:

• Probability theory and statistical inference

• Regression, multivariate, and time-series analysis

• Bayesian and non-parametric methods

• Computational statistics, data analytics, and statistical software applications

• Machine learning and data science from a statistical perspective

• Biostatistics, epidemiology, and health statistics

• Econometrics, financial and actuarial statistics

• Environmental, agricultural, and industrial statistics

• Statistical applications in social sciences, engineering, and natural sciences

The journal particularly values research that bridges theoretical insights with real-world applications, providing rigorous, reproducible, and impactful contributions to the field of statistics globally.