Aim & Scope
The World Journal of Applied Mathematics and Statistics (3067-8307) is committed to advancing the global body of knowledge in applied mathematical theories and statistical methodologies through the publication of original, peer-reviewed research.
The journal envisions an interdisciplinary space where theoretical constructs and empirical strategies converge, enabling researchers, practitioners, and educators to explore innovative solutions to problems spanning across science, engineering, business, medicine, environmental studies, and the social sciences.
By promoting research that bridges abstract mathematics with real-world applications, we seek to contribute meaningfully to academic discourse, technical innovation, and decision-making grounded in evidence and analysis.
Core Scope of the Journal
The scope of the World Journal of Applied Mathematics and Statistics encompasses a wide array of subfields within both disciplines. The journal serves as a forum for rigorous research in the following broad domains:
1. Mathematical Modeling and Simulation
We welcome contributions that apply mathematical structures to represent, simulate, and analyze complex systems. These may include continuous and discrete models, nonlinear systems, or hybrid approaches tailored to specific applications in science, engineering, health, or economics.
2. Computational Mathematics and Algorithm Development
The journal supports research in numerical methods, algorithmic innovation, and high-performance computing techniques that enable the practical solution of mathematically intensive problems. Submissions may address error analysis, convergence studies, and computational complexity in context.
3. Optimization and Operations Research
Optimization theory is essential in a variety of operational and logistical domains. We encourage papers that develop or refine techniques in linear, nonlinear, integer, and dynamic optimization, including their use in engineering design, industrial scheduling, and supply chain systems.
4. Statistics for Data-Driven Decision-Making
The journal emphasizes the role of modern statistical inference and predictive modeling in guiding data-based insights. Topics include:
- Classical and Bayesian statistical methods
- Multivariate statistics
- Nonparametric inference
- Time series analysis
- Survival analysis
- Statistical learning methods
Applications across public health, education, finance, and environmental science are especially welcome.
5. Stochastic Processes and Probabilistic Models
Studies that explore randomness and uncertainty in applied settings form a critical component of our scope. This includes:
- Markov chains and stochastic differential equations
- Queuing theory
- Random processes in telecommunications and networks
- Risk analysis and uncertainty quantification
6. Interdisciplinary Applications
Applied mathematics and statistics intersect with many emerging disciplines. The journal actively supports research that spans traditional boundaries, such as:
- Biomedical modeling
- Environmental risk prediction
- Mathematical epidemiology
- Computational social science
- Artificial intelligence and statistical learning
Articles that clearly articulate the mathematical/statistical foundation and real-world impact are especially encouraged.
Specific Areas of Interest
The World Journal of Applied Mathematics and Statistics invites contributions in, but not limited to, the following areas:
- Finite element and boundary element methods
- Dynamical systems and chaos theory
- Statistical process control and quality engineering
- Mathematical biology and ecology
- Econometric modeling and financial forecasting
- Statistical methods in image and signal processing
- Large-scale data analysis and big data analytics
- Graph theory and network analysis with applications
- Simulation-based inference and Monte Carlo methods
- Mathematical foundations of machine learning algorithms
Types of Articles Published
To serve the research community and a diverse readership, the journal publishes the following types of contributions:
- Original Research Articles: Detailed investigations that contribute new theoretical insights, methodologies, or applications.
- Review Articles: Comprehensive surveys that synthesize recent advancements in specific subfields, providing clarity and direction for future research.
- Short Communications: Brief papers presenting novel concepts or preliminary findings of high relevance.
- Case Studies: Applied work that documents the real-world application of mathematical or statistical methods, particularly when addressing complex or under-explored problems.
- Technical Notes: Focused discussions of new techniques, mathematical formulations, or analytical tools.
- Methodological Papers: Articles introducing or refining statistical or mathematical methods with clear justification and potential for reuse in varied domains.
Audience and Relevance
This journal is intended for a global academic and professional audience that includes:
- Mathematicians and statisticians
- Data scientists and operations researchers
- Engineers and applied physicists
- Economists and financial analysts
- Environmental scientists and epidemiologists
- Researchers in the life, medical, and computational sciences
Graduate students, educators, and industry experts will also benefit from the journal’s content, which is curated to serve both theoretical development and applied innovation.
Interdisciplinary Engagement
One of the defining characteristics of the World Journal of Applied Mathematics and Statistics is its commitment to interdisciplinary knowledge exchange. Mathematics and statistics are universal languages across scientific domains, and the journal seeks to:
- Facilitate communication among scholars in diverse fields
- Promote cross-disciplinary collaborations
- Inspire integrated approaches to modeling, simulation, and analysis
We believe that robust, generalizable research often emerges when academic disciplines intersect. The journal, therefore, encourages submissions that incorporate cross-cutting tools, frameworks, and methodologies.
The World Journal of Applied Mathematics and Statistics is dedicated to publishing meaningful, well-crafted research that uses mathematical and statistical frameworks to analyze, interpret, and solve real-world problems. Our broad scope, commitment to open access, and focus on interdisciplinary relevance make this journal an ideal venue for scholars and practitioners seeking to make impactful contributions to applied science and analytics.
We look forward to receiving your submissions and supporting your research journey with scholarly rigour, editorial integrity, and global reach.
