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.
Electronic Journal of Applied Statistical Analysis is covered by following indexing and abstracting databases:
-Primo Central Index (Ex Libris)
-Statistical Theory and Method Abstracts (STMA), component of Zentralblatt MATH
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Special Issue STATISTICS IN SPORTS
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.
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!
Vol 10, No 1 (2017): Electronic Journal of Applied Statistical Analysis
|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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