About the Journal
Mikailalsys Journal of Mathematics and Statistics (MJMS)
Latest Issue: Vol. 4 No. 2 (June 2026). This issue features peer-reviewed contributions that advance mathematics and statistics scholarship and provide evidence-informed approaches to contemporary theoretical, computational, and applied challenges across disciplines.
Open Access Peer Reviewed Mathematics & Statistics
Indexed
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To date, MJMS has published articles by authors affiliated with institutions in six (6) countries: India, Nepal, Indonesia, Nigeria, Turkey, and Malaysia.
MJMS (Mikailalsys Journal of Mathematics and Statistics) is an open-access, double-blind peer-reviewed journal dedicated to advancing scholarship in mathematics and statistics, including theoretical development, methodological innovation, and applications across disciplines. The journal welcomes contributions from researchers, academics, and practitioners and encourages work that is mathematically rigorous, statistically sound, and clearly reported.
Aims
Mikailalsys Journal of Mathematics and Statistics (MJMS) aims to publish high-quality, peer-reviewed research that advances mathematical theory, strengthens statistical methodology, and demonstrates rigorous applications of mathematics and statistics to problems across scientific, engineering, social, and economic domains. The journal prioritizes clarity of assumptions, methodological transparency, and defensible contributions.
• Mathematical Foundations: advance proofs, structures, and formal analysis with clear novelty and internal rigor.
• Statistical Methods: strengthen estimation, inference, modeling, learning, and uncertainty quantification with validated performance and assumptions.
• Applied Mathematics and Modeling: promote work linking theory to real-world systems through analysis, simulation, and optimization.
• Statistical Data Analysis: encourage reproducible workflows, diagnostics, and verifiable empirical results.
• Interdisciplinary Applications: support applications in science, engineering, economics, and social research where mathematics and statistics are central.
Authors are encouraged to provide complete proofs (or proof sketches with clear lemmas), justify modeling choices, report diagnostics and robustness checks, and state limitations and generalizability conditions explicitly.
Scope
MJMS considers manuscripts spanning mathematics and statistics, including theoretical contributions, methodological developments, and applied work where mathematical or statistical rigor is central. Submissions should present clearly defined problems, assumptions, and results, supported by proofs, simulations, benchmarks, or real-data evaluations as appropriate.
• Pure Mathematics: algebra, analysis, geometry, topology, number theory, logic, and related foundational areas.
• Applied Mathematics: mathematical modeling, differential equations, dynamical systems, numerical methods, optimization, and computational mathematics.
• Statistical Theory and Inference: probability, sampling, estimation, hypothesis testing, Bayesian methods, asymptotics, and uncertainty quantification.
• Statistical Modeling and Data Science: regression, multivariate methods, time series, spatial statistics, machine learning, experimental design, and diagnostics.
• Applications: biostatistics, econometrics, actuarial science, quality and reliability, operations research, engineering statistics, social statistics, and interdisciplinary case studies.
Authors are encouraged to include reproducible supplements (data, code, appendices) where feasible, provide sensitivity or robustness analyses for empirical work, and describe computational settings and software libraries for simulation or numerical studies.