pCOpBICAS: p-Confidence and p-Bias estimation for continuity corrected...

In proportion: Inference on Single Binomial Proportion and Bayesian Computations

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

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

Value

A dataframe with

x1	Number of successes (positive samples)
pconf	p-Confidence
pbias	p-Bias

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)

proportion documentation built on May 1, 2019, 7:54 p.m.