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Stationer: Journal of Statistical Innovations and Applications follows double-blind peer review policy. The paper is sent to many reviewers (the experts in the respective field) to review the paper in light of the journal's guidelines and features of a quality research paper. For papers that require changes, the same reviewers will be used to ensure that the quality of the revised paper is acceptable.
Stationer: Journal of Statistical Innovations and Applications maintains the standards of peer review while increasing the efficiency of the process.
All research articles published in Stationer: Journal of Statistical Innovations and Applications undergo full peer review, key characteristics of which are listed below:
Peer review of referred papers:
Editors of Stationer: Journal of Statistical Innovations and Applications will decide promptly whether to accept, reject, or request revisions of referred papers based on the reviews and editorial insight of the supporting journals. In addition, Editors will have the option of seeking additional reviews when needed. The authors will be advised when Editors decide further review is needed.
Peer review of novel submissions:
Articles submitted directly to Stationer: Journal of Statistical Innovations and Applications will be fully peer-reviewed by at least two appropriately qualified experts in the field selected by the Editor-in-Chief. The Editor-in-Chief or a designated member of the Editorial Board will then decide whether to accept, reject, or request revisions based on the reviews and comments received.
Editors will decide whether each submission reports well-conducted research with conclusions supported by the data presented in the paper. Assessments of priority will not be a factor in decision-making, but all papers must make an incremental or novel addition to the literature.
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Stationer: Journal of Statistical Innovations and Applications will be indexed by

Stationer (Journal of Statistical Innovations and Applications)
by Kiswah Institute is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
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