Volume 13, Issue 4, December 2014, Pages 296 - 310
Modified Clopper-Pearson Confidence Interval for Binomial Proportion
Authors
Desale Habtzghi, Chand K. Midha, Ashish Das
Corresponding Author
Desale Habtzghi
Received 6 January 2013, Accepted 12 August 2014, Available Online 30 December 2014.
- DOI
- 10.2991/jsta.2014.13.4.3How to use a DOI?
- Keywords
- Binomial proportion, Expected coverage probability, Coverage probability, Exact confidence interval, Logistic model
- Abstract
We introduce expected coverage probability as a measure for constructing confidence intervals for the binomial proportion, p. We propose a model based confidence interval for p using the expected coverage probabilities of the Clopper-Pearson interval. The method provides intervals comparable or better than the alternative intervals, such as the Wilson, Agresti-Coull and Jeffreys intervals.
- Copyright
- © 2017, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - JOUR AU - Desale Habtzghi AU - Chand K. Midha AU - Ashish Das PY - 2014 DA - 2014/12/30 TI - Modified Clopper-Pearson Confidence Interval for Binomial Proportion JO - Journal of Statistical Theory and Applications SP - 296 EP - 310 VL - 13 IS - 4 SN - 2214-1766 UR - https://doi.org/10.2991/jsta.2014.13.4.3 DO - 10.2991/jsta.2014.13.4.3 ID - Habtzghi2014 ER -