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Electronic Journal of Statistics : Impact Factor & More

eISSN: 1935-7524pISSN: 1935-7524
JournalOpen Access

Aims and Scope of Electronic Journal of Statistics

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) and the editor-in-chief is Domenico Marinucci. According to the Journal Citation Reports, the journal has a 2013 impact factor of 1.024. By 2017, the impact factor was recorded as 1.529. Less

Key Metrics

CiteScore
1.7
Impact Factor
< 5
SJR
Q2Statistics and Probability
SNIP
1.15
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Topics Covered on Electronic Journal of Statistics

Electronic Journal of Statistics Journal Specifications

Indexed in the following public directories

  • Web of Science Web of Science
  • Scopus Scopus
  • DOAJ DOAJ
  • SJR SJR
Overview
Publisher INST MATHEMATICAL STATISTICS-IMS
Language English
Frequency Irregular
Article Processing ChargesUSD 675
Publication Time6
Editorial Review ProcessAnonymous peer review
General Details
LanguageEnglish
Society/Institute/SponsorBernoulli Society
FrequencyIrregular
Publication Start Year2007
Publisher URLVisit website
Website URLVisit website
Publication Details
Publication Time 6
Waiver PolicyVisit website
Editorial Review Detail
Editorial TeamVisit website
Review ProcessAnonymous peer review
Review UrlVisit website
Information for authors
Author instructionsVisit website
Copyright DetailsVisit website
License typeCC BY
OA statementVisit website
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Recently Published Papers in Electronic Journal of Statistics

A note on the limit theorems for hitting times of path-dependent functionals of Itô semimartingales
  • 1 Jan 2026
  • Electronic Journal of Statistics
Uniform Bahadur representation of the backfitting estimator for additive quantile models and its applications
  • 1 Jan 2026
  • Electronic Journal of Statistics
Multiscale detection of practically significant changes in a gradually varying time series
  • 1 Jan 2026
  • Electronic Journal of Statistics
Lower bounds for nonparametric estimation of ordinary differential equations
  • 1 Jan 2026
  • Electronic Journal of Statistics
Statistical learning on measures: An application to persistence diagrams
  • 1 Jan 2026
  • Electronic Journal of Statistics
A note on the limit theorems for hitting times of path-dependent functionals of Itô semimartingales
  • 1 Jan 2026
  • Electronic Journal of Statistics
Uniform Bahadur representation of the backfitting estimator for additive quantile models and its applications
  • 1 Jan 2026
  • Electronic Journal of Statistics
Multiscale detection of practically significant changes in a gradually varying time series
  • 1 Jan 2026
  • Electronic Journal of Statistics
Lower bounds for nonparametric estimation of ordinary differential equations
  • 1 Jan 2026
  • Electronic Journal of Statistics
Statistical learning on measures: An application to persistence diagrams
  • 1 Jan 2026
  • Electronic Journal of Statistics

FAQs on Electronic Journal of Statistics