About the Journal

Statistics and Mathematical Research Journal (SMRJ) is an international, peer-reviewed, open-access journal dedicated to advancing research in statistics, mathematics, and their interdisciplinary applications. The journal provides a platform for scholars, researchers, and practitioners to share innovative methodologies, theoretical developments, and practical insights that push the boundaries of mathematical sciences.

SMRJ welcomes articles that present rigorous theoretical frameworks, applied studies, and methodological innovations. By fostering collaboration across statistical and mathematical disciplines, the journal seeks to promote the development of tools, models, and analyses that solve real-world problems across industries, sciences, and academia.

Aim

The aim of SMRJ is to disseminate high-quality, peer-reviewed research that advances the fields of statistics and mathematics. The journal is committed to fostering innovation and scholarly collaboration by:

  • Publishing cutting-edge research in pure and applied mathematics and statistics.
  • Encouraging interdisciplinary approaches that integrate mathematical and statistical techniques.
  • Providing evidence-based insights for researchers, educators, and practitioners in mathematical sciences.
  • Building a global community of scholars dedicated to advancing quantitative and analytical knowledge.

Scope

The scope of SMRJ includes a broad range of topics in statistics, mathematics, and related fields, including but not limited to:

  • Probability and Statistics: Theoretical statistics, probability models, stochastic processes, and statistical computing.
  • Applied Mathematics: Mathematical modeling, optimization, differential equations, numerical analysis, and simulation techniques.
  • Data Analysis and Mathematical Computing: Big data analytics, computational methods, machine learning applications, and data-driven modeling.
  • Mathematical Physics and Engineering Applications: Applied mathematical methods for physics, engineering, and interdisciplinary research.
  • Operations Research and Decision Sciences: Optimization, risk analysis, operations modeling, and decision support systems.
  • Theoretical Developments: Advances in pure mathematics, algebra, geometry, topology, and combinatorics.
  • Interdisciplinary Studies: Research connecting statistics and mathematics to biology, economics, computer science, and social sciences.

SMRJ publishes original research articles, reviews, methodological papers, case studies, and conceptual contributions that align with its mission of advancing mathematical and statistical knowledge worldwide.