WhyperCI_M_upper

The 1-alpha Clopper-Pearson type upper interval for the
number of white balls in an urn.

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_M_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>N</dt>
<dd>integer representing the number of the whole balls in an urn.</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 and the icp will be returned.</dd></dl>

Arguments

An Admissible Exact One-sided Upper Interval for the Number of White Balls in Hypergeometric Distribution — WhyperCI_M_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>N</dt>
<dd>integer representing the number of the whole balls in an urn.</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 and the icp will be returned.</dd>

</dl>

WhyperCI_M_upper: An Admissible Exact One-sided Upper Interval for the Number of White Balls in Hypergeometric Distribution

Description

Usage

Value

Arguments

References

Examples