Focus & Scope

Ksatria Journal of Statistics (KJS) publishes original research articles that contribute to the development and application of statistical science. The journal welcomes theoretical, methodological, computational, and applied research that advances statistical knowledge and provides solutions to problems in science, industry, business, economics, engineering, health, and other related fields.

The journal particularly welcomes manuscripts in, but not limited to, the following areas:

Statistical Theory & Methodology

  • Probability and statistical theory
  • Estimation and hypothesis testing
  • Sampling theory and survey methodology
  • Experimental design
  • Nonparametric and semiparametric methods
  • Robust statistical methods

Statistical Modeling & Inference

  • Regression and generalized linear models
  • Multivariate statistical analysis
  • Bayesian statistics
  • Survival and reliability analysis
  • Latent variable models
  • Statistical inference and model selection

Time Series & Spatial Statistics

  • Time series analysis and forecasting
  • Financial and economic time series
  • Spatial statistics
  • Spatio-temporal modeling
  • Longitudinal and panel data analysis

Statistical Process Control

  • Control charts
  • Process capability analysis
  • Multivariate statistical process monitoring
  • Change-point detection
  • Quality and reliability engineering
  • Industrial statistics

Machine Learning & Data Science

  • Statistical learning
  • Machine learning methods
  • Predictive modeling
  • Classification and clustering
  • Feature selection and dimensionality reduction
  • Data mining and analytics

Computational & Applied Statistics

  • Computational statistics
  • Simulation and Monte Carlo methods
  • Optimization in statistics
  • Biostatistics and health statistics
  • Econometrics and business analytics
  • Environmental and agricultural statistics
  • Engineering and industrial applications

KJS also welcomes interdisciplinary studies in which statistical methodology plays a substantial role. Manuscripts that only apply standard statistical techniques without sufficient methodological, analytical, or scientific contribution may be considered outside the journal's scope.