Canadian Journal of Statistics

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Journal Properties
  • Country
    United States
  • Language
    English, French
  • Number of Articles
    2,181
  • Abbreviation
    Can J Stat
  • ISSN
    0319-5724
  • e-ISSN
    1708-945X
  • Main Publisher
    Wiley-Blackwell
  • Publisher
    Wiley
  • Indian UGC
  • Indian UGC Name
  • DOAJ (latest)
Journal Properties
  • Science
    Mathematics
    Science
    Mathematics
    Probabilities
    Mathematical statistics
  • website
Description
The Canadian Journal of Statistics (CJS) is a premier peer-reviewed journal dedicated to publishing high-quality research in statistical science. The journal serves as a key venue for innovative methodologies and theoretical advancements in the field. Its focus includes probability, statistical inference, stochastic processes, and applied statistics, making it an essential resource for statisticians, researchers, and data scientists. The CJS aims to promote the development and application of statistical methods across various disciplines. It is indexed in major databases, ensuring wide visibility for its published content. The journal features research on a broad array of topics, including probability theory, statistical inference, time series analysis, multivariate analysis, Bayesian methods, and statistical computing. The CJS is indexed in prominent databases, enhancing its accessibility and impact. The target audience includes academic statisticians, applied researchers, and graduate students in statistics and related fields. Authors are encouraged to submit manuscripts that contribute significantly to statistical methodology and theory. With its strong reputation and global readership, the Canadian Journal of Statistics provides an excellent platform for disseminating cutting-edge research in statistical science. Submission details are available on the journalÂ’s website.