About the Journal

1. Aim and Objectives

The Journal of Applied Statistics and Integrated Modeling Systems (JASIMS) is a multidisciplinary, peer-reviewed journal dedicated to the advancement of statistical theory and its application across complex systems. The journal provides a unified forum for researchers to present innovative modeling techniques that address challenges in the physical, biological, social, and engineering sciences.

The journal seeks to:

·        Promote the development of novel statistical methodologies and integrated modeling frameworks.

·        Bridge the gap between theoretical data science and practical implementation in industry, health, and environment.

·        Foster collaboration between statisticians, data scientists, engineers, and social scientists to solve systemic global problems.

·        Provide a high-quality Open Access platform for both indigenous and international scholarly contributions.

2. Scope of the Journal

JASIMS welcomes original research, reviews, and case studies in the following expanded thematic areas:

·        Theoretical & Applied Statistics: Bayesian inference, multivariate analysis, nonparametric methods, and survival analysis applied to real-world datasets.

·        Integrated Modeling Systems: Multi-scale modeling, system dynamics, agent-based modeling, and the integration of physical and statistical models.

·        Data Science & Artificial Intelligence: Machine learning algorithms, big data analytics, neural networks, and predictive modeling for complex systems.

·        Biostatistics & Health Informatics: Clinical trial designs, epidemiological modeling, genomics, and health outcome predictions.

·        Econometrics & Social Modeling: Statistical modeling of financial markets, social network analysis, and quantitative sociology.

·        Industrial & Quality Systems: Reliability engineering, experimental design (DOE), Six Sigma methodologies, and supply chain optimization.

·        Environmental & Spatial Systems: Spatio-temporal modeling, climate change projections, and ecological system analysis (broadening the original geospatial focus).

·        Computational Informatics: Optimization algorithms, high-performance computing for statistics, and software development for modeling.

3. Publication Frequency & Standards

·        Frequency: Quarterly.

·        Review Process: Double-blind peer review.

·        Target Indexing: Scopus, Web of Science (ESCI), AJOL, and Google Scholar.