Electronic Journal of Statistics
| Discipline | Statistics |
|---|---|
| Language | English |
| Edited by | Alexandra Carpentier and Arnak Dalalyan (2025–2027) |
| Publication details | |
| History | 2007–present |
| Publisher | |
| Frequency | Upon acceptation |
| Yes | |
| License | Creative Commons Attribution |
| 1.529 (2017) | |
| Standard abbreviations | |
| ISO 4 | Electron. J. Stat. |
| Indexing | |
| ISSN | 1935-7524 |
| LCCN | 2007214848 |
| OCLC no. | 82214859 |
| Links | |
The Electronic Journal of Statistics is an open access peer-reviewed scientific journal published by the Institute of Mathematical Statistics and the Bernoulli Society. It covers all aspects of statistics (theoretical, computational, and applied); the previous editor-in-chief were Larry Wasserman (2007–2009), David Ruppert (2010–2012), George Michailidis (2013–2015), Domenico Marinucci (2016–2021), Gang Li and Grace Yi (2022–2024). According to the Journal Citation Reports, the journal has a 2013 impact factor of 1.024.[1] By 2017, the impact factor was recorded as 1.529.[2]
References
- ^ "Electronic Journal of Statistics". 2013 Journal Citation Reports. Web of Science (Science ed.). Thomson Reuters. 2014.
- ^ "Electronic Journal of Statistics". www.scimagojr.com. Retrieved 2019-02-05.
External links