Austin Statistics is an open access, peer reviewed, scholarly journal dedicated to publish articles in all areas of statistics.
The aim of the journal is to provide a forum for scientists, academicians and researchers to find most recent advances in the field statistics.
Austin Statistics accepts original research articles, review articles, case reports and rapid communication on all the aspects of statistics.
- Biostatistics
- Descriptive statistics
- Demography
- Applied information economics
- Non-parametric statistics
- Image processing
- Geographic information systems
- Econometrics
- Estimation theory
- Graphic models and related theory
- Parametric statistics
- Design of experiments
- Multivariate analysis
- Asymptotic statistics
- High dimensional data analysis
- Bayesian statistics
- Energy statistics
- Time series analysis
- Chemometrics
- Decision theory
- Business statistics
- Survival analysis
- Epidemiology
- Sample survey
- Engineering statistics
- Data mining
- Computational statistics
- Sampling theory
- Psychological statistics
- Theoretic Methods
- Semiparametric statistics
- Statistical computing
- Causal inference
- Actuarial science
- Statistical methods
- Reliability
- Social statistics
- Reliability engineering
- Statistical analysis with complex data
- Regression analysis
- Statistical inference
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