About the Journal

Scope:

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.