Data · collection · 2016
Exact Optimal Confidence Intervals for Hypergeometric Parameters
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For a hypergeometric distribution, denoted by Hyper(M,N,n), where N is the population size, M is the number of population units with some attribute, and n is the given sample size, there are two parametric cases: (i) N is unknown and M is given; (ii) M is unknown and N is given.
Description
For each case, we first show that the minimum coverage probability of commonly used approximate intervals is much smaller than the nominal level for any n , then we provide exact smallest lower and upper one-sided confidence intervals and an exact admissible two-sided confidence interval, a complete set of solutions, for each parameter.
Supplementary materials for this article are available online.
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- Repository landing page figshare.com/collections/Exact_Optimal_Confidence_Intervals_for_Hypergeomet… ↗
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- DOI doi.org/10.6084/m9.figshare.c.2175198.v1 ↗
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- CC-BY creativecommons.org/licenses/by/3.0/us ↗
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Topics
- Stated by source
- Biological sciences · Health sciences · Mathematics
- From keywords
- Cancer · Medicine & Health
Related
- Possibly the same asExact Optimal Confidence Intervals for Hypergeometric Parameters
Provenance · 1 source records, 12 field assertions
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|---|---|---|---|
| DataCite | 10.6084/m9.figshare.c.2175198.v1 | 12 d ago | JSON v1 |
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