Journal of Statistical Theory and Applications

ISSN (Online):
2214-1766
ISSN (Print):
1538-7887
Editor(s)-in-Chief:

M. Ahsanullah

Indexed in:
  • Web of Science - ESCI
  • Scopus (CiteScore: TBC June 2021)
  • Directory of Open Access Journals (DOAJ)
  • General: Ulrichsweb, Google Scholar
  • Local: CNKI, Wanfang Data

The Journal of Statistical Theory and Applications is an international peer reviewed journal dedicated to the publication of original research papers in the area of statistical sciences and related applications. Read full Aims & Scope

This is an open access journal, i.e. all articles are immediately and permanently free to read, download, copy & distribute. The journal is published under the CC BY-NC 4.0 user license which defines the permitted 3rd-party reuse of its articles. To publish an open access article in this journal, Authors are requested to pay an Article Publication Charge (APC) of EUR 850 per accepted paper. For details on eligibility for APC waivers or discounts, please refer to our APC Waivers and Discounts policy. Submission of articles is free of charge.

For any questions about this publication, please contact our publishing team.

Journal Metrics

Impact Factor
N/A (ESCI only)
5-Year Impact Factor
N/A (ESCI only)
Immediacy Index
N/A (ESCI only)
Source-Normalized Impact/Paper
TBC (June 2021)
SCImago Journal Rank
TBC (June 2021)
Field-Weighted Citation Impact
TBC (June 2021)
Eigenfactor
N/A (ESCI only)
Article Influence
N/A (ESCI only)
Total Citations (Scopus data)
883
Cited Half-Life
N/A
Citing Half-Life
N/A
Total Downloads
249,996
Average Publication Speed
99.7 weeks
Acceptance Rate
48.6%

On Inference of Overlapping Coefficients in Two Inverse Lomax Populations

Hamza Dhaker, El Hadji Deme, Salah El-Adlouni
In Press, Uncorrected Proof, Available Online: 15 January 2021

Construction of Strata for a Model-Based Allocation Under a Superpopulation Model

Bhuwaneshwar Kumar Gupt, Md. Irphan Ahamed
In Press, Uncorrected Proof, Available Online: 13 January 2021

Statistical Properties and Different Estimation Procedures of Poisson–Lindley Distribution

Mohammed Amine Meraou, Mohammad Z. Raqab
In Press, Corrected Proof, Available Online: 11 January 2021

View More Latest Articles