Please use the official KJS manuscript template when preparing your submission.
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Research Articles
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Bagging Based Heteroscedasticityadjusted Ridge Regression for District Level Poverty Modeling in West Nusa Tenggara Province
103 Abstract Views 64 PDF Downloads -
Hidden Markov Modeling of Daily Climate Regimes in Sleman Regency
38 Abstract Views 51 PDF Downloads -
Tail Dependence Analysis Between the Idx Composite and the USD/IDR Exchange Rate Using the Quantile Correlation Coefficient
93 Abstract Views 39 PDF Downloads
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.
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