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统计学报Open Journal of Statistics

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统计学报

Open Journal of Statistics

ISSN Print: 2161-718X

ISSN Online: 2161-7198

Aims & Scope


Open Journal of Statistics (OJS) is an international journal dedicated to the latest advancements in statistics. The goal of this journal is to provide a platform for scientists and academicians all over the world to promote, share, and discuss various new issues and developments in different areas of statistics.

All manuscripts must be prepared in English and are subject to a rigorous and fair peer-review process. Generally, accepted papers will appear online within 3 weeks followed by printed hard copy. The journal publishes original papers including but not limited to the following fields:

  • · Actuarial science
  • · Applied information economics
  • · Asymptotic statistics
  • · Bayesian statistics
  • · Biostatistics
  • · Business statistics
  • · Causal inference
  • · Chemometrics
  • · Computational statistics
  • · Data mining
  • · Decision theory
  • · Demography
  • · Descriptive statistics
  • · Design of experiments
  • · Econometrics
  • · Energy statistics
  • · Engineering statistics
  • · Epidemiology
  • · Estimation theory
  • · Geographic information systems
  • · Graphic models and related theory
  • · High dimensional data analysis
  • · Image processing
  • · Multivariate analysis
  • · Non-parametric statistics
  • · Parametric statistics
  • · Psychological statistics
  • · Regression analysis
  • · Reliability
  • · Reliability engineering
  • · Sample survey
  • · Sampling theory
  • · Semiparametric statistics
  • · Social statistics
  • · Statistical analysis with complex data
  • · Statistical computing
  • · Statistical inference
  • · Statistical methods
  • · Survival analysis
  • · Theoretic Methods
  • · Time series analysis

  • We are also interested in: 1) Short Reports – 2-5 page papers where an author can  present either preliminary data or an idea with theoretical background but has not yet completed the research needed for a complete paper; 2) Book Reviews – Comments and critiques.

    TAG: Journal Online 统计学
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