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Optimal and Fast Confidence Intervals for Hypergeometric Successes

Bartroff, Jay and Lorden, Gary and Wang, Lijia (2022) Optimal and Fast Confidence Intervals for Hypergeometric Successes. American Statistician . ISSN 0003-1305. doi:10.1080/00031305.2022.2128421. (In Press) https://resolver.caltech.edu/CaltechAUTHORS:20221110-430693700.13

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Abstract

We present an efficient method of calculating exact confidence intervals for the hypergeometric parameter representing the number of “successes,” or “special items,” in the population. The method inverts minimum-width acceptance intervals after shifting them to make their endpoints nondecreasing while preserving their level. The resulting set of confidence intervals achieves minimum possible average size, and even in comparison with confidence sets not required to be intervals it attains the minimum possible cardinality most of the time, and always within 1. The method compares favorably with existing methods not only in the size of the intervals but also in the time required to compute them. The available R package hyperMCI implements the proposed method.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.1080/00031305.2022.2128421DOIArticle
ORCID:
AuthorORCID
Wang, Lijia0000-0001-5905-8061
DOI:10.1080/00031305.2022.2128421
Record Number:CaltechAUTHORS:20221110-430693700.13
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20221110-430693700.13
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:117828
Collection:CaltechAUTHORS
Deposited By: Research Services Depository
Deposited On:27 Nov 2022 21:09
Last Modified:28 Nov 2022 18:27

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