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The Simulation and Computation series intends to publish papers that make theoretical and methodological advances relating to computational aspects of Probability and Statistics. Simulational assessment and comparison of the performance of statistical and probabilistic methods will also be considered for publication. Papers stressing graphical methods, resampling and other computationally intensive methods will be particularly relevant. In addition, special issues dedicated to a specific topic of current interest will also be published in this series periodically, providing an exhaustive and up-to-date review of that topic to the readership.
Peer Review Policy
All submitted manuscripts are subject to initial appraisal by the Editor, and if found suitable for further consideration, will be peer-reviewed by independent and anonymous expert referees. All peer review is single anonymized and submission is online via the Submission Portal.
Publishing Ethics Statement
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 Publication Ethics (COPE) and utilizes Similarity Check via CrossRef 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/.
Publication office: Taylor & Francis, Inc., 530 Walnut Street, Suite 850, Philadelphia, PA 19106.
Authors can choose to publish gold open access in this journal.
Read the Instructions for Authors for information on how to submit your article.
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Communications in Statistics - Theory and Methods
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Communications in Statistics: Case Studies, Data Analysis and Applications
Publishes interdisciplinary case studies, novel data analytic methods in statistics, and techniques for analyzing big data.
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