This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 631
Type: Contributed
Date/Time: Thursday, August 5, 2010 : 8:30 AM to 10:20 AM
Sponsor: Section on Nonparametric Statistics
Abstract - #308498
Title: Model-Based Confidence Intervals for Binomial Proportion
Author(s): Desale Habtzghi*+ and Chand Midha and Ashish Das
Companies: The University of Akron and The University of Akron and Indian Institute of Technology, Bombay
Address: Department of Statistics, Akron, OH, 44325,
Keywords: Expected coverage probability ; True coverage probability ; Clopper-Pearson ; Logistic model

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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