Focus. VARIANSI: Journal of Statistics and Its Application on Teaching and Research publishes original, peer-reviewed articles reporting research findings and literature reviews in statistics. The journal covers both basic (theoretical) and applied statistics, as well as the teaching of statistics and its application in teaching and research.

Scope. Topics include, but are not limited to:

1. Statistical theory and methodology: inference, estimation theory, nonparametric and robust statistics.
2. Statistical modeling: regression (linear, generalized linear, panel, spatial), multivariate analysis, and calibration.
3. Time series and forecasting: classical and modern methods, including volatility models.
4. Spatial statistics, econometrics, and financial statistics: panel data, risk analysis, and financial modeling.
5. Applied statistics: health, agriculture, economics, social sciences, and environment.
6. Computational statistics and data science: simulation, statistical programming, and machine learning.
7. Statistics education: teaching strategies, learning media and modules, assessment, and data literacy.
8. Literature reviews: narrative and systematic reviews related to the topics above.

Article types. Original research articles and literature reviews.