The Mikailalsys Journal of Mathematics and Statistics is a scholarly publication dedicated to advancing research and knowledge in the fields of mathematics and statistics. The journal welcomes original research articles, reviews, case studies, and theoretical papers that contribute to the understanding, development, and application of mathematical and statistical principles, theories, and methodologies. The focus areas of the journal include but are not limited to:

1. Pure Mathematics: Research in areas such as algebra, analysis, geometry, topology, number theory, discrete mathematics, mathematical logic, and mathematical foundations, exploring theoretical frameworks, proofs, and mathematical structures.

2. Applied Mathematics: Studies on the application of mathematical principles, models, and techniques to solve real-world problems in fields such as engineering, physics, chemistry, biology, economics, finance, computer science, and social sciences.

3. Probability Theory and Stochastic Processes: Exploration of probability distributions, stochastic models, random processes, Markov chains, queuing theory, reliability theory, and applications in risk analysis, decision-making, and statistical inference.

4. Statistical Methods and Data Analysis: Research on statistical methodologies, hypothesis testing, experimental design, regression analysis, multivariate analysis, time series analysis, Bayesian statistics, nonparametric methods, and computational statistics.

5. Mathematical Modeling: Development and analysis of mathematical models to describe and predict phenomena in various domains, including mathematical modeling in ecology, epidemiology, climate science, optimization, and control systems.

6. Mathematics Education and Pedagogy: Studies on mathematics curriculum development, teaching strategies, pedagogical innovations, educational technology in mathematics, assessment methods, and teacher professional development in mathematics education.

7. Interdisciplinary Applications: Research that bridges mathematics and statistics with other disciplines such as computer science, engineering, social sciences, economics, health sciences, environmental sciences, and interdisciplinary studies, fostering collaboration and cross-disciplinary research.

8. Mathematical Software and Computational Mathematics: Exploration of mathematical software tools, numerical methods, computational algorithms, high-performance computing, simulations, and applications of computational mathematics in scientific research and industry.

The Mikailalsys Journal of Mathematics and Statistics aims to promote rigorous mathematical and statistical research, foster interdisciplinary collaboration, and contribute to the advancement of mathematical sciences and statistical methodologies. The journal seeks to engage mathematicians, statisticians, researchers, educators, practitioners, and students to share innovative ideas, methods, and discoveries that contribute to the development of these fields and their applications in solving real-world problems.