Electronic Journal of Applied Statistical Analysis


EJASA - Cover
e-ISSN: 2070-5948
The Electronic Journal of Applied Statistical Analysis (EJASA) is an international OPEN ACCESS and peer-reviewed journal, published half-yearly (until 2009 annualy) articles which contribute new research ideas in all areas of the statistical science including theoretical, applied, computational or conceptual 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 should be submitted electronically via online submission only in LATEX format (as ZIP folder). Here you can Download theĀ LATEX Template with the instructions for the Authors.
INDEXING & ABSTRACTING
Electronic Journal of Applied Statistical Analysis is covered by following indexing and abstracting databases:

-SCOPUS
-INDEX COPERNICUS INTERNATIONAL (Official Index Copernicus Value. ICV2010: 5.91; ICV2011: 6.42)
-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
-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)
-JOURNAL FINDER
-ZDP OPAC
-Georgetown University Library
-EPFL: Scientific Information and Libraries
-E-MATH Africa.

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Vol 7, No 2 (2014): Electronic Journal of Applied Statistical Analysis

Original Paper


Modeling the price of trends of teak wood using statistical and artificial neural network techniques Details     pdf
Muniandy Sivaram 180 - 198

Heteroscedasticity in survey data and model selection based on weighted Schwarz bayesian information criteria Details     pdf
David Sam Jayakumar, Sulthan A 199 - 217

A stochastic frontier model based on Rayleigh distribution Details     pdf
Rosario Oliviero 218 - 227

Reliability estimation of k-unit series system based on progressiverly censored data Details     pdf
Kiran Ganpati Potdar, D. T. Shirke 228 - 253

Comparing two mean humidity curves using functiona t-tests: Turkey Case Details     pdf
Istem Koymen Keser 254 - 278

Testing the difference between two sets of data using comparison two linear regression functions Details     pdf
Unchalee Tonggumnead 279 - 291

Joint modeling of longitudinal CD4 cell counts and time-to-default from HAART treatment: a comparison of separate and joint models Details     pdf
Awol Seid, Muluye Getie, Belay Birlie, Yehenew Getachew 292 - 314

Kernel estimation of the regression mode for fixed design model Details     pdf
Raid B. Salha 315 - 325

Bayesian analysis of randomly censored Burr type XII distribution under different loss functions Details     pdf
Muhammad Yameen Danish, Muhammad Aslam 326 - 342

A note on ridge regression modeling techniques Details     pdf
Waheed Babatunde Yahya, Julius Babatunde Olaifa 343 - 361

Efficiency of heterosceastic linear model Details     pdf
Oloyede Isiaka, Ipinyomi R.A, Iyaniwura J.O 362 - 374

Shift point Bayes estimation under Weibull failure model Details     pdf
Gyan Prakash 375 - 393

Interconvertible rules between an aggregative index and a log-change index Details     pdf
Shu Tsuchida 394 - 416

Examining a weight reallocation method for small area estimation of poverty Details     pdf
Arturo Martinez 417 - 431

Short Note


A simple and conservative empirical likelihood function Details     pdf
Guthrie Miller 432 - 437


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e-ISSN: 2070-5948