WhyperCI_N_upper

The 1-alpha Clopper-Pearson type upper interval for the
population number of hypergeometric distribution.

Construct the admissible exact intervals for the binomial proportion, the Poisson mean and the total number of subjects with a certain attribute or the total number of the subjects for the hypergeometric distribution. Both one-sided and two-sided intervals are of interest. This package can be used to calculate the intervals constructed methods developed by Wang (2014) <doi:10.5705/ss.2012.257> and Wang (2015) <doi:10.1111/biom.12360>.

Chongxiu Yu

ExactCIone

Admissible Exact Intervals for One-Dimensional Discrete
Distributions

Weizhen Wang

Zhongzhan Zhang

WhyperCI_N_upper function

<dl><dt>x</dt>
<dd>integer representing the number of white balls we observed when drawn without replacement from an urn which contains both black and white balls.</dd>
<dt>n</dt>
<dd>the number we drawn.</dd>
<dt>M</dt>
<dd>the number of the white balls.</dd>
<dt>conf.level</dt>
<dd>the confidence level of confidence interval.</dd>
<dt>details</dt>
<dd>TRUE/FALSE, can be abbreviate. Default is FALSE. If choose TRUE, the confidence intervals for the whole sample space will be returned.</dd></dl>

Arguments

An Admissible Exact One-sided Upper Interval for the Population Number of Hypergeometric Distribution — WhyperCI_N_upper

<dl>

<dt>x</dt>
<dd>integer representing the number of white balls we observed when drawn without replacement from an urn which contains both black and white balls.</dd>


<dt>n</dt>
<dd>the number we drawn.</dd>


<dt>M</dt>
<dd>the number of the white balls.</dd>


<dt>conf.level</dt>
<dd>the confidence level of confidence interval.</dd>


<dt>details</dt>
<dd>TRUE/FALSE, can be abbreviate. Default is FALSE. If choose TRUE, the confidence intervals for the whole sample space will be returned.</dd>

</dl>

WhyperCI_N_upper: An Admissible Exact One-sided Upper Interval for the Population Number of Hypergeometric Distribution

Description

Usage

Value

Arguments

References

Examples