The Electronic Journal of Applied Statistical Analysis (EJASA) is an international OPEN ACCESS and peer-reviewed journal, published half-yearly (until 2009 annually) articles which contribute new research ideas in all areas of the statistical science including social and economical applications, theoretical or computational papers related to probability or statistics. All the papers in the EJASA are refereed papers by two international reviewers.
Its scope is to promote study and research in all fields of statistics and to contribute to the diffusion of the statistical thinking culture.
In addition, special issues dedicated to a specific topic will also be published on EJASA.
PUBLICATION HISTORY
In 2015 Electronic Journal of Applied Statistical Analysis: Decision Support Systems and Services Evaluation (ISSN 2037-3627) was absorbed into Electronic Journal of Applied Statistical Analysis (ISSN 2070-5948)
FOR THE AUTHORS
Publication in EJASA is free of charge. The submitted papers are accepted only in English describing original research not published nor currently under review by other journals. Parallel submissions will not be accepted.
All submitted papers, if relevant to the themes and objectives of the journal, will go through two rounds of an external peer-review process.
- PAPER PREPARATION: Download the EJASA LaTeX Template and follow the instructions for the Authors and the guide to make bibliography with LaTeX, and create the blinded (without authors names) PDF version of your paper with tables, graphs and bibliography.
Please be advised that the Electronic Journal of Applied Statistical Analysis is currently not accepting new submissions as we are upgrading to a new Journal Management System. Meanwhile, the papers under review will continue to be managed by the editorial board and reviewers to finalize the reviewing process.
INDEXING & ABSTRACTING
Electronic Journal of Applied Statistical
Electronic Journal of Applied Statistical
Analysis is covered by following indexing and abstracting databases:
-WoS Emerging Sources Citation Index (ESCI)
-SCOPUS
-INDEX COPERNICUS INTERNATIONAL
-SUMMON
-Primo Central Index (Ex Libris)
-EBSCO EDS
-MathSciNet
-Statistical Theory and Method Abstracts (STMA), component of Zentralblatt MATH
-DOAJ: Directory of OPEN ACCESS Journal
-STATLIB: Statistical Library on the net
-GOOGLE Scholar
-ULRICH'S: International Database
-PKP: Public Knowledge Project
-SUMMON
-Primo Central Index (Ex Libris)
-EBSCO EDS
-MathSciNet
-Statistical Theory and Method Abstracts (STMA), component of Zentralblatt MATH
-DOAJ: Directory of OPEN ACCESS Journal
-STATLIB: Statistical Library on the net
-GOOGLE Scholar
-ULRICH'S: International Database
-PKP: Public Knowledge Project
Vol 18, No 2 (2025): Electronic Journal of Applied Statistical Analysis
Original Paper
| Balancing performance and environmental efficiency: a multiclass classification study of textual data | Details pdf |
| Maria Paola Priola, Maurizio Romano | 238 - 263 |
| Imputation of Missing Values with Adaptive Elastic Net for Gene Selection in High-dimensional Data | Details pdf |
| Aiedh Mrisi Alharthi | 264 - 281 |
| Derivation of Incomplete gamma functions properties with applications | Details pdf |
| Rami AlAhmad, Mohamed Riffi, Mohammad Baha Rababah | 282 - 298 |
| Bayes Analysis of mRS Followup Data in the Presence of Multiple Categories | Details pdf |
| Pranjal Kumar Pandey, Priya Dev, Shambhavi Singh, Akanksha Gupta, Abhishek Pathak, Satyanshu Kumar Upadhyay | 299 - 312 |
| Future scenarios: a financial network analysis of stock market returns in the metaverse environment | Details pdf |
| Emma Zavarrone, Alessia Forciniti, Emanuele Mario Parisi, Angelo Miglietta | 313 - 343 |
| Improved group sampling plans under odd-Perks-Lomax model with limited risks | Details pdf |
| mehran Naghizadeh Qomi, Zainalabideen Al-Husseini, Muhammad Aslam | 344 - 358 |
| Machine Learning-Based Analysis of Cancer Incidence in Jordan (2020–2021): A Decision Tree Approach | Details pdf |
| Raneem M. Alsheraideh, Mohammed S. Alsheraideh, Mariam A. Al-Nasser, Amjad D. Al-Nasser, Hannan Malkawi, Abdallah Matouq, Odai Mohammed, Ahamad Eyad, Fadia Mayyas, Rana Abuhiwage, Mohamad Kharashgah | 359 - 378 |
| Statistical Inference for the Unit Inverse Weibull Distribution Using Ranked Set Sampling with COVID-19 Application | Details pdf |
| Sid Ahmed Benchiha, Toufik Guendouzi | 379 - 401 |
| Inference and Application of Modified Lehmann Type-II Fr\'echet Distribution using Progressively Censored Data | Details pdf |
| Aman Prakash, John Abonongo, Raj Kamal Maurya | 402 - 430 |
| Statistical enhanced learning for modeling and prediction tennis matches at Grand Slam tournaments | Details pdf |
| Andreas Groll, Nourah Buhamra | 431 - 457 |
| Numerical methods to predict health-related Metrics. A case of great economic impact: the Body Mass Index | Details pdf |
| Giacomo di Tollo, Nora Kordic, Massimo Squillante, Salvador Cruz Rambaud | 458 - 479 |
| Tourist engagement with garden visitation during COVID-19 pandemic: A statistical evaluation | Details pdf |
| Salem Harahsheh | 480 - 505 |
This work is licensed under a Creative Commons Attribuzione - Non commerciale - Non opere derivate 3.0 Italia License.
e-ISSN: 2070-5948