About the Journal


The Journal of Statistical Methods and Data Science publishes articles consisting of research findings, case studies, or literature reviews within the field of statistical methods and data science, along with their applications, encompassing:

  1. Statistical Computing
  2. Statistical Modeling
  3. Data Mining
  4. Statistical Simulation
  5. Big Data Analysis
  6. Machine Learning Analysis
  7. Time Series Analysis
  8. Categorical Data Analysis
  9. Spatial Analysis
  10. Survey Analysis and Design
  11. Non-parametric Statistical Analysis
  12. Data Visualization and Exploration
  13. Small Area Estimation
  14. Structural Equation Modeling
  15. Experimental Design
  16. Operations Research
  17. Bayesian Analysis
  18. Econometrics
  19. Other topics relevant to Statistical Methods and Data Science.