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Asian Journal of Mathematics & Statistics
  Year: 2011 | Volume: 4 | Issue: 3 | Page No.: 128-139
DOI: 10.3923/ajms.2011.128.139
Retracted: The Efficiency of Some Alternative Ridge Estimators for Seemingly Unrelated Regressions
Moawad El-Fallah Abd El-Salam

Abstract:

A CASE OF PLAGIARISM (Case No. 07012011)

Professor Ghazi Shukur from Linnaeus University, Sweden pointed out a plagiarism in a paper published in Asian Journal of Mathematics and Statistics Volume 4 Number 3, 128-139, 2011.

On the receipt of Professor Ghazi Shukur’s letter, the case forwarded to the Ethics Committee of the Science Alert. As per the report of the Ethics Committee, article entitled "The efficiency of some alternative ridge estimators for seemingly unrelated regressions" authored by Moawad El-Fallah Abd El-Salam from Department of Statistics and Mathematics and Insurance, Faculty of Commerce, Zagazig University, Egypt published in Asian Journal of Mathematics and Statistics Volume 4 Number 3, 128-139, 2011, contains substantial sections of text that have been taken verbatim from earlier publication without clear and unambiguous attribution.

Science Alert considers misappropriation of intellectual property and duplication of text from other authors or publications without clear and unambiguous attribution totally unacceptable.

Plagiarism is a violation of copyright and a serious breach of scientific ethics. The Editors and Publisher have agreed to officially retract this article.

Science Alert is highly thankful to Dr. Ghazi Shukur, Professor of Statistics/Econometrics, Linnaeus University, Sweden for pointing out this plagiarism.

Detail of article from which text has been copied by Moawad El-Fallah Abd El-Salam:

M.A. Alkhamisi and G. Shukur, 2008. Developing Ridge Parameters for SUR Model. Communications in Statistics - Theory and Methods, 37: 544-564. DOI: 10.1080/03610920701469152

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How to cite this article:

Moawad El-Fallah Abd El-Salam , 2011. Retracted: The Efficiency of Some Alternative Ridge Estimators for Seemingly Unrelated Regressions. Asian Journal of Mathematics & Statistics, 4: 128-139.

DOI: 10.3923/ajms.2011.128.139

URL: https://scialert.net/abstract/?doi=ajms.2011.128.139

 
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