Electronic Journal of Statistics
Institute of Mathematical Statistics
About the journal
Electronic Journal of Statistics is an open-access journal published by Institute of Mathematical Statistics in United States, publishing in english. It is listed in DOAJ and PUBMED according to the sources read. Declared publication charge: 675 USD. Declared review time at DOAJ: 6 weeks. Facts are reproduced as recorded at their sources with their capture dates; PublishLens indicators are available after sign-in.
Basic facts
- Publisher
- Institute of Mathematical Statistics
- ISSN
- 1935-7524
- Country
- United States
- Languages
- english
- Access
- Open access
- Declared publication charge
- 675 USD
- Articles in DOAJ
- 0
- Declared review time
- 6 weeks
- Declared peer-review model
- peer_review
Index listings
- DOAJ · 2022-01-21
- PUBMED · 2007-01-01
- Indexing
- DOAJ · PUBMED
- APC
- 675 USD
- Declared review time (DOAJ)
- 6 weeks — journal-declared only (not measured)
- Activity (OpenAlex)
- Active — latest works 2026
- PublishLens list status
- Shown after sign-in
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- Choose your university and rank below ↓
Methodology signals (dated facts from their sources)
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Descriptive metadata from public sources (DOAJ, OpenAlex, PubMed) as of the capture date shown — contains no assessment or judgment.
Articles in DOAJ
0
Average review time (journal-declared via DOAJ)
6weeks
Works in OpenAlex
2184
Last recorded publication year
2026
h-index
72
i10-index
709
From OpenAlex open data (CC0).
Editorial & policy11
- Last DOAJ review date
- 2025-12-19
- Added to DOAJ
- 2022-01-21
- Declared plagiarism screening
- Not declared
- Other fees beyond APC
- No
- Observed digital preservation (Keepers registry)— snapshot 2026-10-05
- CLOCKSS
- Editorial board
- Official page ↗
- Norwegian register (HK-dir)— 2026
- Level 1 — approved scholarly channel
- Open references deposited at Crossref
- 100%
- ORCID iDs in current deposits
- 4%
- APC waiver policy
- View policy
- Peer-review policy
- View policy
Identity & continuity2
- Source type
- journal
- NLM unique ID (PubMed)
- 101480209
Classification4
Subjects (DOAJ)
LCC codes
Subject areas
- Statistical Methods and Inference
- Statistical Methods and Inference
- Bayesian Methods and Mixture Models
- Bayesian Methods and Mixture Models
- Statistical Methods and Bayesian Inference
- Statistical Methods and Bayesian Inference
- Advanced Statistical Methods and Models
- Advanced Statistical Methods and Models
Show all subjects (50)
- Financial Risk and Volatility Modeling
- Financial Risk and Volatility Modeling
- Sparse and Compressive Sensing Techniques
- Sparse and Compressive Sensing Techniques
- Markov Chains and Monte Carlo Methods
- Markov Chains and Monte Carlo Methods
- Statistical Distribution Estimation and Applications
- Statistical Distribution Estimation and Applications
- Statistical Methods in Clinical Trials
- Statistical Methods in Clinical Trials
- Stochastic processes and financial applications
- Stochastic processes and financial applications
- Control Systems and Identification
- Control Systems and Identification
- Random Matrices and Applications
- Random Matrices and Applications
- Advanced Statistical Process Monitoring
- Advanced Causal Inference Techniques
- Advanced Causal Inference Techniques
- Advanced Statistical Process Monitoring
- Gaussian Processes and Bayesian Inference
- Gaussian Processes and Bayesian Inference
- Bayesian Modeling and Causal Inference
- Optimal Experimental Design Methods
- Bayesian Modeling and Causal Inference
- Optimal Experimental Design Methods
- Machine Learning and Algorithms
- Machine Learning and Algorithms
- Probabilistic and Robust Engineering Design
- Point processes and geometric inequalities
- Probabilistic and Robust Engineering Design
- Point processes and geometric inequalities
- Face and Expression Recognition
- Face and Expression Recognition
- Complex Systems and Time Series Analysis
- Complex Systems and Time Series Analysis
- Soil Geostatistics and Mapping
- Soil Geostatistics and Mapping
- Morphological variations and asymmetry
- Morphological variations and asymmetry
- Statistical and numerical algorithms
- Statistical and numerical algorithms
Keywords (DOAJ)
- statistics
- applied statistics
- theoretical statistics
Community confirmations — what users saw in MJL or Scopus Sources; not platform verification and never part of any score.
The journal's record in other sources:Web of Science MJLDOAJ