Aim and Scope

The Sigma Journal of Mathematical and Statistical Sciences (SJMSS) is an international peer-reviewed open-access journal dedicated to publishing high-quality scholarly research in mathematics, statistics, data science, applied mathematics, computational sciences, probability, and related interdisciplinary fields.

The journal aims to promote rigorous theoretical, methodological, computational, and applied research that contributes to the advancement of mathematical and statistical knowledge. SJMSS welcomes original research articles, review articles, short communications, editorials, and letters to the editor.

The journal accepts submissions in areas including, but not limited to:

• Pure Mathematics
• Applied Mathematics
• Probability Theory
• Statistical Inference
• Mathematical Modeling
• Numerical Analysis
• Computational Mathematics
• Statistical Modeling
• Data Science
• Machine Learning Theory
• Operations Research
• Stochastic Processes
• Biostatistics
• Statistical Computing
• Mathematical Physics
• Optimization
• Quantitative Methods and Interdisciplinary Applications

SJMSS encourages submissions that demonstrate originality, scientific rigor, methodological clarity, and relevance to the mathematical and statistical sciences. Manuscripts must be written in clear academic English and must comply with the journal’s publication ethics and author guidelines.

Submissions that fall outside the journal’s scope or do not meet the journal’s scholarly, technical, or ethical standards may be declined during the initial editorial assessment.