The Journal of Statistical Theory and Practice is a broad-based journal encouraging submission of original research papers, significant review articles, and book reviews in statistical sciences. The journal also publishes editorials on "Life and Works" of eminent scholars. Special issues on targeted topics are published from time to time.
In addition to covering all traditional topics in statistical theory and applications, the journal will also publish articles in the field of data sciences including machine learning.
Journal information
- Editor-in-Chief
-
- Sat Gupta
- Publishing model
- Hybrid (Transformative Journal). Learn about publishing Open Access with us
Journal metrics
- 77 days
- Submission to first decision
- 208 days
- Submission to acceptance
- 7,436 (2019)
- Downloads
Latest issue
Latest articles
Journal updates
-
COVID-19 and impact on peer review
As a result of the significant disruption that is being caused by the COVID-19 pandemic we are very aware that many researchers will have difficulty in meeting the timelines associated with our peer review process during normal times. Please do let us know if you need additional time. Our systems will continue to remind you of the original timelines but we intend to be highly flexible at this time.
Societies, partners and affiliations
-
Grace Scientific Publishing
About this journal
- Electronic ISSN
- 1559-8616
- Print ISSN
- 1559-8608
- Abstracted and indexed in
-
- ANVUR
- CNKI
- Dimensions
- EBSCO Discovery Service
- Emerging Sources Citation Index
- Google Scholar
- Institute of Scientific and Technical Information of China
- Japanese Science and Technology Agency (JST)
- Mathematical Reviews
- Naver
- OCLC WorldCat Discovery Service
- ProQuest-ExLibris Primo
- ProQuest-ExLibris Summon
- SCImago
- SCOPUS
- TD Net Discovery Service
- UGC-CARE List (India)
- zbMATH
- Copyright information
