Back to Top
Go Back
Journal Photo for Statistical Theory and Related Fields
Peer reviewed only Open Access

Statistical Theory and Related Fields (STRF)

Publisher : Taylor & Francis
Statistical analysis for Big Data Bayesian statistics Actuarial studies
e-ISSN 2475-4277
p-ISSN 2475-4269
Issue Frequency Continuously
Impact Factor 0.7
Est. Year 2017
Mobile 4402080520500
DOI YES
Language English
APC YES
Impact Factor Assignee GOOGLE SCHOLAR
Email enquiries@taylorandfrancis.com

Journal Descriptions

Statistical Theory and Related Fields is an international academic journal sponsored jointly by East China Normal University (ECNU) and the Chinese Association for Applied Statistics (CAAS). It aims to publish significant and original articles in modern statistical theory and related fields in natural, economical, medical, and social science. The emphasis is to meet the needs of statistical application and methodology development in a rapidly changing world, and to promote the use of statistics in quantitative studies and interdisciplinary investigations. The advent of the era of Big Data has not only brought about great challenges to statisticians around the world, but also provided vast opportunities for them to develop new statistical theories and methods, as well as to find new applications in many fields. On the other hand, the number, subject scopes and geographic distribution of existing international academic journals in statistics can hardly meet the communication needs of statisticians, especially of those from China’s Mainland.

Statistical Theory and Related Fields (STRF) is :-

  • International, Peer-Reviewed, Open Access, Refereed, Statistical analysis for Big Data, Bayesian statistics, Actuarial studies, Financial statistics, Survey methodology, Risk management , Online or Print , Continuously Journal

  • UGC Approved, ISSN Approved: P-ISSN P-ISSN: 2475-4269, E-ISSN: 2475-4277, Established: 2017, Impact Factor: 0.7
  • Provides Crossref DOI
  • Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE

Indexing