About the Journal

Journal of Statistical Science is a peer-reviewed publication dedicated to advancing the field of statistics through the dissemination of high-quality research and innovative methodologies. As part of the SCIMET series, this journal serves as a vital platform for statisticians, researchers, and practitioners across various disciplines, including economics, medicine, social sciences, and engineering.

Publication Frequency: Quarterly

ISSN Pending (Print) | ISSN Pending (Online) | ISSN Pending (Digital) | International CODEN (CAS): JTSAAP

  • Applied Statistics - Economic Statistics, Medical Statistics, Social Statistics
  • Computational Statistics - Monte Carlo, Numerical Methods, Optimization Algorithms
  • Time Series Analysis - Forecasting Models, Seasonal Analysis, Variability Detection
  • Multivariate Statistics - Principal Component Analysis, Factor Analysis, Cluster Analysis
  • Statistical Learning - Supervised Learning, Unsupervised Learning, Model Selection
  • Nonparametric Statistics - Sample Tests, Rank Statistics, Estimation Methods
  • Bayesian Statistics - Bayesian Inference, Prior Distribution, Posterior Analysis
  • Experimental Design - Randomized Trials, Factorial Design, Crossover Design
  • Statistical Quality Control - Process Control, Quality Improvement, Statistical Sampling

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This work is licensed under a Creative Commons Attribution 4.0 International License.