Electronic Journal of Applied Statistical Analysis

EJASA - Cover
e-ISSN: 2070-5948

EJASA in WoS Core Collection (ESCI)
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SCImago Journal & Country Rank
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.

In addition, special issues dedicated to a specific topic will also be published on EJASA.

Its scope is to promote study and research in all fields of statistics and to contribute to the diffusion of the statistical thinking culture.

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. The decision about any submitted paper will be taken within at least four months of receipt.

Papers must be submitted electronically via online submission only in LATEX format (as ZIP folder). Here you can Download the LATEX Template, the instructions for the Authors and the guide to make bibliography with LATEX.

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)

Electronic Journal of Applied Statistical Analysis is covered by following indexing and abstracting databases:

-WoS Emerging Sources Citation Index (ESCI)
-INDEX COPERNICUS INTERNATIONAL (Official Index Copernicus Value. ICV2010: 5.91; ICV2011: 6.42)
-Primo Central Index (Ex Libris)
-Statistical Theory and Method Abstracts (STMA), component of Zentralblatt MATH
-DOAJ: Directory of OPEN ACCESS Journal
-STATLIB: Statistical Library on the net
-GOOGLE Scholar
-Academic Journals Database
-ULRICH\'S: International Database
-SJSU Electronic Journals Index
-Open J-Gate
-PKP: Public Knowledge Project
-Geneva Foundation for Medical Education and Research (GFMER)
-Georgetown University Library
-EPFL: Scientific Information and Libraries
-E-MATH Africa.





A Special Issue of EJASA (open access journal indexed in SCOPUS and Thomson Reuters Web of ScienceTM Core Collection - Emerging Sources Citation Index) is devoted to Statistics in Sports.

Posted: 2016-07-20 More...

EJASA in WoS-ESCI 2016!


We are pleased to announce that The Electronic Journal of Applied Statistical Analysis (EJASA) is indexing in Thomson Reuters Web of Science™ (WoS) Core Collection - Emerging Sources Citation Index (ESCI) . Thomson Reuters has launched WoS-ESCI in November 2015, to extend the universe of publications in WoS to include high-quality, peer-reviewed publications of regional importance and in emerging scientific fields. Inclusion in ESCI provides greater discoverability which leads to measurable citations and more transparency in the selection process.


Many thanks to authors and reviewers of EJASA, that make it possible!

Posted: 2016-04-26 More...
More Announcements...

Vol 10, No 1 (2017): Electronic Journal of Applied Statistical Analysis

Original Paper

A comparison study between three different Kernel estimators for the Hazard rate function Details     pdf
Raid B. Salha, Ali J. Rasheed 1 - 13

Short and long-term forecasting using artificial neural networks for stock prices in Palestine: a comparative study Details     pdf
Samir K Safi, Alexander K White 14- 28

Tolerance intervals and confidence intervals for the scale parameter of Pareto-Rayleigh distribution Details     pdf
Suwarna Shivajirao Godase, Digambar Tukaram Shirke, Dattatray Namdev Kashid 29 - 49

Bayesian estimation of the Rayleigh distribution under different loss function Details     pdf
Assia Chadli, Boudjerda Khawla, Meradji Asma, Hocine Fellag 50 - 64

Multivariate time series modeling of monthly rainfall amounts Details     pdf
Esam Mahdi, Serge B. Provost, Raid B. Salha, Imad I. H. Nashwan 65 - 81

Estimating unknown heterogeneity in head and neck cancer survival: a parametric shared frailty approach Details     pdf
Subhradev Sen, Meenu Tom, Geetha M, Satheesan Balasubramanian 82 - 92

Students’ evaluation of teaching at a large Italian university: measurement scale validation Details     pdf
Francesca Bassi, Renata Clerci, Debora Aquario 93 - 117

The Burr XII modified Weibull distribution: model, properties and applications Details     pdf
Precious Mdlongwa, Broderick Oluyede, Alphonse Amey, Shujiao Huang 118 - 145

Dual balance correction in ANOVA repeated measures by missing data Details     pdf
Nina Alexeyeva 146 - 159

Biased power regression: a new biased estimation procedure in linear regression Details     pdf
El Mostafa Qannari, Angélina El Ghaziri 160 - 179

Parameters estimation for GARCH (p,q) model: QL and AQL approaches Details     pdf
Raed Ahmad Alzghool 180 - 193

Tests for smooth-sbrupt changes with applications Details     pdf
Wei Ning, Ying-Ju Chen 194 - 205

The Gamma log-logistic Weibull distribution: model, properties and application Details     pdf
Susan Foya, Broderick O Oluyede, Adeniyi F. Fagbamigbe, Boikanyo Makubate 206 - 241

An efficient gene selection method for high-dimensional microarray data based on sparse logistic regression Details     pdf
Zakariya Algamal 242 - 256

Some Bayes estimators for Pareto Type-II progressive censored data Details     pdf
Gyan Prakash 257 - 270

On the finite mixture of exponential, Rayleigh and Burr Type-XII Distributions: Estimation of Parameters in Bayesian framework Details     pdf
Muhammad Tahir, Muhammad Aslam, Zawar Hussain, Nasir Abbas 271 - 293

A Bayesian approach to estimate the reliability P (X > Y ) utilizing an initial guess Details     pdf
Aymen Ibrahim Rawashdeh, Mohammad Obidat 294 - 306

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This work is licensed under a Creative Commons Attribuzione - Non commerciale - Non opere derivate 3.0 Italia License.

e-ISSN: 2070-5948