DocumentCode
518300
Title
Notice of Retraction
Interval estimation for the binomial proportion by Bayes Estimators
Author
Tanusit, M.
Author_Institution
Dept. of Stat., Maejo Univ., Chiang Mai, Thailand
Volume
6
fYear
2010
fDate
16-18 April 2010
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
In this paper we consider interval estimation for the binomial proportion by Bayes Estimator with Normal method, Score method, Score corrected continuity method and Rigorous formula method. The shortest average width was used as the criteria to selection. The Comparisons were done by using three levels of sample sizes (n): small (n ≤ 30) medium ( 50 ≤ n ≤ 90 ) and large (n ≥ 100) whereas the parameter are 0.05, 0.07, 0.09, 0.1, 0.3 and 0.5 all of which were considered at 90%, 95% and 99% confidence levels. For the results of this paper, all parameter and confidence level, Bayes normal method and Normal method are suitable for np <; 5 and np ≥ 5 respectively because they gives the average confidence interval width are shortest and they are easier to present and more convenient than the others method.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
In this paper we consider interval estimation for the binomial proportion by Bayes Estimator with Normal method, Score method, Score corrected continuity method and Rigorous formula method. The shortest average width was used as the criteria to selection. The Comparisons were done by using three levels of sample sizes (n): small (n ≤ 30) medium ( 50 ≤ n ≤ 90 ) and large (n ≥ 100) whereas the parameter are 0.05, 0.07, 0.09, 0.1, 0.3 and 0.5 all of which were considered at 90%, 95% and 99% confidence levels. For the results of this paper, all parameter and confidence level, Bayes normal method and Normal method are suitable for np <; 5 and np ≥ 5 respectively because they gives the average confidence interval width are shortest and they are easier to present and more convenient than the others method.
Keywords
Bayes methods; binomial distribution; estimation theory; Bayes estimator; Bayes normal method; binomial proportion; interval estimation; normal method; rigorous formula method; score corrected continuity method; shortest average width; Density functional theory; Gaussian distribution; Maximum likelihood estimation; Random variables; Statistics; Bayes Estimators; Binomial Proportion; Interval Estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Engineering and Technology (ICCET), 2010 2nd International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-6347-3
Type
conf
DOI
10.1109/ICCET.2010.5485999
Filename
5485999
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