proportion (version 2.0.0)

pCOpBIAWD: p-Confidence and p-Bias estimation for adjusted Wald method

Description

p-Confidence and p-Bias estimation for adjusted Wald method

Usage

pCOpBIAWD(n, alp, h)

Arguments

n

- Number of trials

alp

- Alpha value (significance level required)

h

- Adding factor

Value

A dataframe with

x1

Number of successes (positive samples)

pconf

p-Confidence

pbias

p-Bias

Details

Evaluation of adjusted Wald-type interval using p-confidence and p-bias for the \(n + 1\) intervals

References

[1] 2005 Vos PW and Hudson S. Evaluation Criteria for Discrete Confidence Intervals: Beyond Coverage and Length. The American Statistician: 59; 137 - 142.

See Also

Other p-confidence and p-bias of adjusted methods: PlotpCOpBIAAS, PlotpCOpBIAAll, PlotpCOpBIALR, PlotpCOpBIALT, PlotpCOpBIASC, PlotpCOpBIATW, PlotpCOpBIAWD, pCOpBIAAS, pCOpBIAAll, pCOpBIALR, pCOpBIALT, pCOpBIASC, pCOpBIATW

Examples

n=5; alp=0.05;h=2
pCOpBIAWD(n,alp,h)