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Vol 1 No 1 (2026): Ksatria Journal of Statistics
Diterbitkan:
2026-05-25
Research Articles
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Bagging Based Heteroscedasticityadjusted Ridge Regression for District Level Poverty Modeling in West Nusa Tenggara Province
106 Abstract Views 66 PDF Downloads -
Hidden Markov Modeling of Daily Climate Regimes in Sleman Regency
40 Abstract Views 53 PDF Downloads -
Tail Dependence Analysis Between the Idx Composite and the USD/IDR Exchange Rate Using the Quantile Correlation Coefficient
96 Abstract Views 41 PDF Downloads
PEER-REVIEWED ACADEMIC JOURNAL
KSATRIA JOURNAL
OF STATISTICS
Advancing Statistical Science through Theory and Application
Ksatria Journal of Statistics (KJS) publishes original research in statistical theory, methodology, computation, and applications, providing a scholarly platform for innovative statistical research and data-driven discovery.
Publisher PT Aksara Tri Akademika
Publication Peer Reviewed
Language English
E-ISSN XXXX-XXXX
Research in Statistics and Its Applications
Ksatria Journal of Statistics (KJS) is a peer-reviewed academic journal dedicated to advancing statistical science through the publication of high-quality theoretical, methodological, computational, and applied research.
The journal welcomes contributions covering statistical theory and inference, statistical modeling, multivariate analysis, time series, spatial statistics, Bayesian statistics, statistical process control, econometrics, biostatistics, machine learning, data science, and computational statistics.
Learn more about KJS →Focus & Scope
- Statistical Theory & Methodology
- Statistical Modeling & Inference
- Time Series & Spatial Statistics
- Statistical Process Control
- Machine Learning & Data Science
- Computational & Applied Statistics
