This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
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Activity Number:
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631
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Type:
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Contributed
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Date/Time:
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Thursday, August 5, 2010 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Nonparametric Statistics
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| Abstract - #308498 |
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Title:
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Model-Based Confidence Intervals for Binomial Proportion
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Author(s):
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Desale Habtzghi*+ and Chand Midha and Ashish Das
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Companies:
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The University of Akron and The University of Akron and Indian Institute of Technology, Bombay
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Address:
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Department of Statistics, Akron, OH, 44325,
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Keywords:
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Expected coverage probability ;
True coverage probability ;
Clopper-Pearson ;
Logistic model
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Abstract:
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We introduce expected coverage probability as a measure for assessing the performance of the interval estimation methods while constructing confidence intervals for the binomial proportion. A method for constructing the confidence interval for binomial proportion through a logistic model fit of the expected coverage probabilities of the Clopper-Pearson interval is proposed. The method provides intervals comparable to the alternative intervals, such as the Wilson or Jeffrey intervals.
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