The Journal of Statistics and Management Systems (JSMS) is a world leading journal publishing high quality, rigorously peer-reviewed original research on theoretical and applied statistics and management systems. The scope is intentionally broad, but papers must make a novel contribution to the field to be considered for publication.
Topics include, but are not limited to, the following:
• Statistics
• Applied Statistics
• Industrial Statistics
• Statistical Inference
• Interdisciplinary role of Statistics
• Actuarial Sciences
• Decision Sciences
• Managerial Aspects
• Management Sciences
• Management Information Systems
The journal considers original research articles, survey articles, and book reviews for publication. Responses to articles and correspondence will also be considered at the Editor-in-Chief’s discretion.
Special issue proposals in cutting-edge and timely areas of research in information and optimization sciences are encouraged – please contact the Editor-in-Chief in the first instance.
Peer Review Policy
All submitted manuscripts are subject to initial appraisal by the Editor-in-Chief, and, if found suitable for further consideration, to rigorous and rapid peer review by independent, anonymous expert referees. All peer review is double blind and will undergo iThenticate authenticity cross-checking.
Manuscripts may be submitted to any Associate Editor or directly to the Editor-in-Chief: bkdass@tarupublications.com.
Publishing Ethics
The Journal adheres to the highest standards of publishing ethics, with rigorous processes in place to ensure this is achieved. Taylor & Francis is a member of Committee of Publications Ethics (COPE) and utilises CrossCheck for all Journals. More information on our ethical standards and policies can be found here: http://authorservices.taylorandfrancis.com/ethics-for-authors/
The Journal has an appeals and complaints policy which can be viewed here: https://authorservices.taylorandfrancis.com/peer-review-appeals-and-complaints-from-authors/.
Disclaimer
