DocumentCode
534638
Title
Notice of Violation of IEEE Publication Principles
Optimal stopping rules for proofreading
Author
Liao, Fei
Author_Institution
Dept. of Math., Mudanjiang Normal Coll., Mudanjiang, China
Volume
6
fYear
2010
fDate
16-18 Oct. 2010
Firstpage
2478
Lastpage
2480
Abstract
Notice of Violation of IEEE Publication Principles
"Optimal Stopping Rules for Proofreading"
by Fei Liao
in the Proceedings of the 2010 3rd International Conference on Biomedical Engineering and Informatics (BMEI 2010), Oct 2010, pp. 2478-2480
After careful and considered review of the content and authorship of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE\´s Publication Principles.
This paper is a near verbatim copy of the paper cited below. The original text was copied without attribution (including appropriate references to the original author(s) and/or paper title) and without permission.
Due to the nature of this violation, reasonable effort should be made to remove all past references to this paper, and future references should be made to the following article:
"Optimal Stopping Rules in Proofreading"
by Mark C. K. Yang, Dennis D. Wackerly, and Andrew Rosalsky
Journal of Applied Probability 19, 1982, pp. 723-729
Optimal stopping rules under various conditions are obtained for a proofreader who has a probability p (known or unknown) of detecting a misprint in proofsheets which contain an unknown but Poisson-distributed number of misprints. In the Poisson model, the optimal stopping rule is seen to be a fixed sample size rule. A generalization is made to problems in which individual misprints may have distinct probabilities of detection and distinct overlook costs.
"Optimal Stopping Rules for Proofreading"
by Fei Liao
in the Proceedings of the 2010 3rd International Conference on Biomedical Engineering and Informatics (BMEI 2010), Oct 2010, pp. 2478-2480
After careful and considered review of the content and authorship of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE\´s Publication Principles.
This paper is a near verbatim copy of the paper cited below. The original text was copied without attribution (including appropriate references to the original author(s) and/or paper title) and without permission.
Due to the nature of this violation, reasonable effort should be made to remove all past references to this paper, and future references should be made to the following article:
"Optimal Stopping Rules in Proofreading"
by Mark C. K. Yang, Dennis D. Wackerly, and Andrew Rosalsky
Journal of Applied Probability 19, 1982, pp. 723-729
Optimal stopping rules under various conditions are obtained for a proofreader who has a probability p (known or unknown) of detecting a misprint in proofsheets which contain an unknown but Poisson-distributed number of misprints. In the Poisson model, the optimal stopping rule is seen to be a fixed sample size rule. A generalization is made to problems in which individual misprints may have distinct probabilities of detection and distinct overlook costs.
Keywords
Poisson distribution; behavioural sciences; content management; publishing; Poisson-distribution; misprint; optimal stopping; overlook costs; probability; proofreading; proofsheets; beta distribution; gamma distribution; optimal stopping; poisson distribution; proofreading;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Engineering and Informatics (BMEI), 2010 3rd International Conference on
Conference_Location
Yantai
Print_ISBN
978-1-4244-6495-1
Type
conf
DOI
10.1109/BMEI.2010.5639679
Filename
5639679
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