Aim and Scope

Aim & Scope

Journal of Advance Research in Mathematics and Statistics (JARMS, ISSN: 2208-2409) is an open-access, peer-reviewed international journal that publishes high-quality research advancing theoretical, methodological, and applied aspects of mathematics and statistics. The journal serves as a scholarly platform for mathematicians, statisticians, data scientists, and academicians to exchange new ideas, analytical methods, and innovations that contribute to the advancement of quantitative and computational sciences.

The primary aim of JARMS is to promote interdisciplinary research that connects mathematical theory and statistical analysis with real-world applications in science, engineering, economics, and social systems. The journal emphasizes original research that develops new models, proofs, and methodologies, as well as studies that demonstrate practical implementation of quantitative techniques in diverse domains.

The journal welcomes submissions from a broad range of thematic areas, including but not limited to:

  • Pure mathematics — algebra, analysis, geometry, and topology

  • Applied mathematics and mathematical modeling

  • Differential equations, dynamical systems, and control theory

  • Numerical analysis, computational methods, and optimization

  • Probability theory and stochastic processes

  • Statistical theory, inference, and estimation methods

  • Applied statistics and data analytics

  • Bayesian modeling and decision theory

  • Time series analysis, forecasting, and econometrics

  • Biostatistics, bioinformatics, and epidemiological modeling

  • Machine learning, artificial intelligence, and data mining

  • Operations research, optimization, and mathematical programming

  • Computational mathematics and simulation studies

  • Actuarial science, quantitative finance, and risk modeling

  • Interdisciplinary and applied research integrating mathematics and statistics with other scientific disciplines

JARMS invites original research papers, theoretical developments, computational studies, and comprehensive reviews that contribute to scientific understanding, quantitative innovation, and real-world problem-solving. All submissions must meet the journal’s standards of academic rigor, originality, and ethical integrity.