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Journal Photo for Research in Statistics
Peer reviewed only Open Access

Research in Statistics (RS)

Publisher : Taylor & Francis
Physical Sciences Statistics Engineering Statistics Statistical Theory
e-ISSN 2768-4520
Issue Frequency Continuously
Est. Year 2023
Mobile 4402080520500
DOI YES
Language English
APC YES
Impact Factor Assignee GOOGLE SCHOLAR
Email enquiries@taylorandfrancis.com

Journal Descriptions

Research in Statistics is a broad open access journal publishing original research in all areas of statistics and probability. The journal focuses on broadening existing research fields, and in facilitating international collaboration, and is devoted to the international advancement of the theory and application of advanced statistical techniques. This includes both theoretical and official statistics, statistics for financial data, and administrative statistics. The journal welcomes original and significant contributions in the area of statistics whether on empirical or mathematical foundations, or their applications to any domain of statistical and information technology, and more generally to any field of investigation where statistical methodologies are relevant. Applied papers demonstrating the usefulness of statistical methodology in practical problems are particularly welcome. Papers submitted for consideration should provide novel contributions in statistical theory or applications as they relate to the following interdisciplinary topics: Statistical Theory Statistical Modeling Medical Statistics and Epidemiology Biostatistics Agricultural Statistics Environmental Statistics Physical Sciences Statistics Engineering Statistics Extremes and its applications Risk Theory Behavioural and Psychological Statistics Economics & Business Statistics Statistics Education Statistical Surveys Statistical Computing, Data Visualization, and Simulation Social Sciences Demography History of Statistics Theory of Fuzzy Measures, Fuzzy Probability, and Information and its Statistical Applications Randomness, Stochastic Processes, and Statistical Applications

Research in Statistics (RS) is :-

  • International, Peer-Reviewed, Open Access, Refereed, Physical Sciences Statistics, Engineering Statistics, Statistical Theory, Risk Theory, Environmental Statistics, Statistics Education, Demography , Online , Continuously Journal

  • UGC Approved, ISSN Approved: P-ISSN E-ISSN: 2768-4520, Established: 2023,
  • Provides Crossref DOI
  • Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE

Indexing