proportion (version 2.0.0)

pCOpBICAS: p-Confidence and p-Bias estimation for continuity corrected ArcSine method

Description

p-Confidence and p-Bias estimation for continuity corrected ArcSine method

Usage

pCOpBICAS(n, alp, c)

Arguments

n

- Number of trials

alp

- Alpha value (significance level required)

c

- Continuity correction

Value

A dataframe with

x1

Number of successes (positive samples)

pconf

p-Confidence

pbias

p-Bias

Details

Evaluation of continuity corrected Wald-type interval for the arcsine transformation of the parameter p 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 continuity corrected methods: PlotpCOpBICAS, PlotpCOpBICAll, PlotpCOpBICLT, PlotpCOpBICSC, PlotpCOpBICTW, PlotpCOpBICWD, pCOpBICAll, pCOpBICLT, pCOpBICSC, pCOpBICTW, pCOpBICWD

Examples

n=5; alp=0.05;c=1/(2*n)
pCOpBICAS(n,alp,c)