Noland Journal of Statistics and Mathematics (NJSM) is a peer-reviewed, open-access international journal dedicated to the advancement of theoretical and applied research in statistics, mathematics, and their interdisciplinary applications. The journal aims to serve as a dynamic forum for the exchange of innovative ideas, methods, and findings that push the boundaries of statistical and mathematical sciences.
With a commitment to academic rigor and accessibility, NJSM welcomes high-quality original research articles, review papers, methodological developments, and case studies from researchers, educators, and practitioners across academia and industry.
The journal covers a wide range of topics, including but not limited to:
Statistical Theory and Methodology
Applied and Computational Statistics
Biostatistics and Medical Statistics
Bayesian Inference and Machine Learning
Time Series and Forecasting
Data Science and Big Data Analytics
Statistical Modeling and Simulation
Survey Methodology
Pure Mathematics (Algebra, Geometry, Number Theory, etc.)
Applied Mathematics
Mathematical Modeling
Differential Equations and Dynamical Systems
Numerical Analysis
Mathematical Physics
Optimization and Control Theory
Probability Theory
Statistical Applications in Engineering, Finance, and Economics
Mathematical Methods in Natural and Social Sciences
Computational Methods and Algorithms
Cryptography and Information Theory
All submissions to NJSM undergo a double-blind peer review process to ensure quality, originality, and relevance. The editorial board is composed of leading academics and professionals from around the world, each with deep expertise in various branches of statistics and mathematics.