Statistics publishes papers developing and analysing new methods for any active field of statistics, motivated by real-life problems. Papers submitted for consideration should provide interesting and novel contributions to statistical theory and its applications with rigorous mathematical results and proofs. Moreover, numerical simulations and application to real data sets can improve the quality of papers, and should be included where appropriate. Statistics does not publish papers which represent mere application of existing procedures to case studies, and papers are required to contain methodological or theoretical innovation. Topics of interest include, for example, nonparametric statistics, time series, analysis of topological or functional data. Furthermore the journal also welcomes submissions in the field of theoretical econometrics and its links to mathematical statistics.

Peer Review Policy
All submitted manuscripts are subject to initial appraisal by the Editor. If found suitable for further consideration, papers are subject to peer-review by independent, anonymous expert referees. All peer-review is single-blind and submissions can be made at http://mc.manuscriptcentral.com/gsta.
Read the Review Process for Statistics

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/.