E-ISSN: XXXX-XXXX (Online)
Additional Menu
Contact
Download
Tools
Published by
Collaboration
Information
Statistics
The Global Journal of Statistics (GJSTA) E-ISSN (XXXX-XXXX) is a peer-reviewed academic journal published by PT. Global Teras Fana and issued biannually in May and November. The journal publishes high-quality theoretical, methodological, and applied research in statistics and data science, covering statistical modeling, inference, computational statistics, machine learning, and interdisciplinary data analysis. All manuscripts undergo a rigorous double-blind peer-review process to ensure originality, methodological rigor, and reproducibility. The journal prioritizes studies with strong theoretical and methodological contribution and real-world relevance, aiming to support evidence-based decision-making and enhance international academic visibility and impact.
Current Issue
Vol. 1 No. 1 (2026): May: Global Journal of Statistics
Published:
2026-05-01
Articles
-
Development of a Computational Thinking-Based Learning Model to Improve Students’ Algebraic Thinking Skills
Abstract views: 2 |
Downloaded: 3
-
The Role of Machine Learning Model Interpretability in Improving the Quality of Strategic Decision-Making
Abstract views: 3 |
Downloaded: 1
-
Analysis of Statistical Learning Integration in Data-Driven Organizational Decision-Making
Abstract views: 3 |
Downloaded: 2
-
The Impact of Model Interpretability on Decision Validity in Machine Learning Applications
Abstract views: 5 |
Downloaded: 3
-
The Application of Statistical Learning and Machine Learning in Supporting Organizational Strategic Decision-Making
Abstract views: 3 |
Downloaded: 5
