Notice of RetractionInterval estimation for the binomial proportion by Bayes Estimators

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.