Aim and Scope

Detailed Scope for the Journal of Advance Research in Mathematics and Statistics:

Pure Mathematics -

Algebra: Research in group theory, ring theory, fields, algebras, and modules, including applications in coding and cryptography.

Geometry and Topology: Studies in differential geometry, algebraic geometry, topological groups, and manifold theory.

Analysis: Contributions in real and complex analysis, functional analysis, harmonic analysis, and non-standard analysis.

Number Theory: Investigations into algebraic number theory, analytic number theory, Diophantine equations, and applications in cryptography.

Applied Mathematics -

Differential Equations: Research on ordinary and partial differential equations, dynamical systems, and their applications in engineering and science.

Mathematical Physics: Papers that apply mathematical techniques to problems in physics, including quantum mechanics, relativity, and statistical mechanics.

Computational Mathematics: Studies on numerical analysis, algorithm development for mathematical computations, and simulations.

Optimization and Operations Research: Research in linear and nonlinear optimization, integer programming, stochastic models, and decision-making processes.

Statistics and Probability -

Theoretical Statistics: Development of new statistical theories, models, and methods.

Applied Statistics: Applications of statistical techniques in the natural and social sciences, including experimental design and data analysis.

Biostatistics and Epidemiology: Statistical methods in medical research, clinical trials, and public health.

Stochastic Processes: Research on random processes, including Markov chains, Brownian motion, and stochastic modeling.

Interdisciplinary Applications -

Actuarial Science: Mathematical and statistical methods in risk assessment and financial modeling.

Data Science and Machine Learning: Use of mathematical and statistical techniques in data mining, machine learning algorithms, and big data analytics.

Quantitative Finance: Applications of mathematics and statistics in financial markets, including derivatives modeling, risk management, and algorithmic trading.

Environmental Statistics: Use of statistics in environmental science, including climate modeling and ecological data analysis.