Communications in Statistics - Theory and Methods

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Journal Properties
  • Formerly part of
    Communications in Statistics
  • Country
    United States
  • Language
    English
  • Number of Articles
    13,574
  • Abbreviation
    Commun Stat- Theory Methods
  • ISSN
    0361-0926
  • e-ISSN
    1532-415X
  • Main Publisher
    Taylor & Francis
  • Publisher
    Informa UK Limited
  • Indian UGC
  • Indian UGC Name
  • DOAJ (latest)
Journal Properties
  • Science
    Mathematics
    Science
    Mathematics
    Probabilities
    Mathematical statistics
  • website
Description
Communications in Statistics - Theory and Methods is a prominent journal publishing significant and original contributions to statistical theory, methodology, and applications. It serves as a valuable resource for statisticians, researchers, and practitioners seeking to advance the field of statistics and its use in various disciplines. The journal's broad scope encompasses both theoretical advancements and practical applications, covering a wide range of statistical topics. Articles often delve into new methodologies, theoretical frameworks, and innovative approaches for solving real-world problems, addressing topics like probability, statistical inference, modeling, and experimental design. Indexed in databases like Web of Science and Scopus, Communications in Statistics - Theory and Methods provides an essential platform for researchers to disseminate their work and stay informed about the latest developments in statistical science. It covers topics such as: statistical modeling, hypothesis testing, Bayesian methods, time series analysis, and data analysis techniques. It is aimed at professionals and academics who work with statistical tools. With a commitment to fostering rigorous scholarship and promoting interdisciplinary collaboration, Communications in Statistics - Theory and Methods encourages submissions that demonstrate the practical relevance and impact of statistical methods. Consider submitting your work to contribute to this ongoing mission of advancing statistical knowledge and its application across a wide range of fields.