Overview
Journal of Statistical Theory and Practice is a broad-based journal that publishes original research and reviews in statistical sciences.
- Submission of original research papers, significant review articles, and book reviews are encouraged.
- Publishes editorials on 'Life and Works' of eminent scholars.
- Regularly publishes special issues on targeted topics.
- Covers all traditional topics in statistical theory and applications.
- Also publishes articles in the field of data sciences including machine learning.
- Editor-in-Chief
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- Sat Gupta
- Impact factor
- 0.6 (2022)
- 5 year impact factor
- 0.7 (2022)
- Submission to first decision (median)
- 30 days
- Downloads
- 65,568 (2023)
Societies and partnerships
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Grace Scientific Publishing
Latest articles
Journal updates
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JSTP webinar series
JSTP has started a webinar series on the Cassyni platform. The next talk will be held October 5 with Sujit Ghosh as the speaker.
Journal information
- Electronic ISSN
- 1559-8616
- Print ISSN
- 1559-8608
- Abstracted and indexed in
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- ANVUR
- BFI List
- Baidu
- CLOCKSS
- CNKI
- CNPIEC
- Dimensions
- EBSCO
- Emerging Sources Citation Index
- Google Scholar
- Japanese Science and Technology Agency (JST)
- Mathematical Reviews
- Naver
- OCLC WorldCat Discovery Service
- Portico
- ProQuest
- SCImago
- SCOPUS
- TD Net Discovery Service
- UGC-CARE List (India)
- Wanfang
- zbMATH
- Copyright information