Fast algorithms of computing admissible intervals for discrete distributions with single parameter

It is of great interest to compute optimal exact confidence intervals for the success probability (p) in a binomial distribution, the number of subjects with a certain attribute (M) or the total number of subjects (N) in a hypergeometric distribution, and the mean λ of a Poisson distribution. In thi...

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Bibliographic Details
Published in:	Journal of applied statistics Vol. 52; no. 3; pp. 687 - 701
Main Authors:	Wang, Weizhen, Yu, Chongxiu, Zhang, Zhongzhan
Format:	Journal Article
Language:	English
Published:	England Taylor & Francis 2025 Taylor & Francis Ltd
Subjects:	62-08 Algorithms Bisection method Clopper-Pearson-type interval Confidence intervals exact confidence interval infimum coverage probability monotonic confidence limits Parameters Poisson distribution Statistical analysis monotonic confidence limits Clopper-Pearson-type interval infimum coverage probability 62-08 Bisection method 62F99 exact confidence interval
ISSN:	0266-4763, 1360-0532
Online Access:	Get full text
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