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Journal Photo for Statistical Modelling
Peer reviewed only Open Access

Statistical Modelling (SM)

Publisher : Sage Publishing
Statistics Probability and Uncertainty Statistics and Probability
e-ISSN 1477-0342
p-ISSN 1471-082X
Issue Frequency Bi-Monthly
Impact Factor 1.0
Est. Year 2007
Mobile 1140639222
Language English
APC YES
Email journals@sagepub.com

Journal Descriptions

Statistical Modelling: An International Journal is a bimonthly peer‑reviewed academic publication established in 2007 and published by SAGE Publications on behalf of the Statistical Modelling Society. The journal serves as a premier forum for research that views statistical modelling as a broad, unifying framework for applying statistical ideas across theoretical and applied domains. It publishes original articles emphasizing important developments in statistical methodology, extensions of modelling techniques, and innovative applications that showcase the power and flexibility of statistical modelling approaches. The journal is especially receptive to work that bridges theory and practice, addressing challenging problems in fields as diverse as biostatistics, economics, engineering, environmental science, and social sciences — wherever statistical models play a central role in data analysis. In addition to methodological advances, Statistical Modelling encourages submissions that present complex real‑world problems and demonstrate how statistical modelling contributes to scientific understanding. Through rigorous peer review, the journal maintains high standards of scholarship and relevance, making it a valuable resource for statisticians, quantitative researchers, and practitioners interested in state‑of‑the‑art modelling techniques. The journal is indexed in key databases including SCIE and Scopus, reflecting its international impact in the field of statistics.

Statistical Modelling (SM) is :-

  • International, Peer-Reviewed, Open Access, Refereed, Statistics, Probability and Uncertainty, Statistics and Probability, inference, regression modelling, survival analysis, nonlinear models, Bayesian methods, high‑dimensional modelling, applications across many substantive sciences, demonstrate complex modelling applications , Online or Print , Bi-Monthly Journal

  • UGC Approved, ISSN Approved: P-ISSN P-ISSN: 1471-082X, E-ISSN: 1477-0342, Established: 2007, Impact Factor: 1.0
  • Does Not Provide Crossref DOI
  • Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE

Indexing