Aim and Scope

Welcome to the Journal of Mathematics and Statistics Research (JMSR), a platform committed to advancing the global exchange of cutting-edge research in Mathematics and Statistics. Our mission is to provide a timely and accessible forum for researchers worldwide to publish their findings, fostering collaboration and innovation.

JMSR is dedicated to maintaining the highest standards of academic excellence while covering a diverse array of topics in both theoretical and applied aspects of Mathematics and Statistics. We invite you to submit your manuscript and contribute to shaping the future of research in these fields.

Subject Areas

Our journal covers a broad spectrum of topics, including but not limited to:

Mathematics

  

Statistics

 

 

Interdisciplinary Areas

 
  • Algebra
  
  • Applied Statistics
    
  • Artificial Intelligence
  • Analysis
  
  • Bayesian Statistics
    
  • Bayesian Networks
  • Applied Mathematics
  
  • Biostatistics
    
  • Cyber security
  • Applied Statistics
  
  • Big Data Analytics
    
  • Data Analysis
  • Artificial Intelligence
  
  • Categorical Data Analysis
    
  • Deep Learning
  • Chaos Theory
  
  • Data Mining
    
  • Econometrics
  • Combinatorics
  
  • Decision Theory
    
  • Forecasting
  • Computational Mathematics
  
  • Design of Experiments
    
  • Image Processing
  • Control Theory
  
  • Environmental Statistics
    
  • Machine Learning
  • Differential Equations
  
  • Estimation Theory
    
  • Mathematical Programming
  • Functional Analysis
  
  • Longitudinal Data Analysis
    
  • Monte Carlo Methods
  • Game Theory
  
  • Multilevel Modeling
    
  • Network Analysis
  • Graph Theory
  
  • Multivariate Analysis
    
  • Operations Research
  • Linear Algebra
  
  • Nonparametric Statistics
    
  • Signal Processing
  • Mathematical Biology
  
  • Quality Control
    
  • Simulation
  • Mathematical Modelling
  
  • Regression Analysis
    
  • Stochastic Calculus
  • Mathematical Physics
  
  • Reliability Theory
    
  • Stochastic Differential Equations
  • Matrix Analysis
  
  • Robust Statistics
    
  • Stochastic Processes
  • Measure Theory
  
  • Sampling Theory
    
  • Transportation Planning
  • Numerical Analysis
  
  • Social Statistics
    
  • Uncertainty Quantification
  • Optimization
  
  • Spatial Statistics
    
  • Wavelets
  • Partial Differential Equations
  
  • Statistical Computing
      
  • Probability Theory
  
  • Statistical Genetics
      
  • Topology
  
  • Statistical Inference
      
  • Trigonometry
  
  • Statistical Learning
      
   
  • Statistical Modeling
      

 

  
  • Statistical Process Control
      

 

  
  • Statistical Quality Control
      

 

  
  • Statistical Time Series Analysis
      

 

  
  • Survival Analysis