errCWD: Calculates error, long term power and pass/fail criteria for...

In proportion: Inference on Single Binomial Proportion and Bayesian Computations

Description

Calculates error, long term power and pass/fail criteria for continuity corrected Wald method

Usage

errCWD(n, alp, phi, c, f)

Arguments

n	- Number of trials
alp	- Alpha value (significance level required)
phi	- Null hypothesis value
c	- Continuity correction
f	- Failure criterion

Details

Evaluation of Wald-type interval with continuity correction using error due to the difference of achieved and nominal level of significance for the n + 1 intervals

Value

A dataframe with

delalp	Delta-alpha is the increase of the nominal error with respect to real error
theta	Long term power of the test
Fail_Pass	Fail/pass based on the input f criterion

References

[1] 2014 Martin Andres, A. and Alvarez Hernandez, M. Two-tailed asymptotic inferences for a proportion. Journal of Applied Statistics, 41, 7, 1516-1529

See Also

Other Error for continuity corrected methods: PloterrCAS, PloterrCAll, PloterrCLT, PloterrCSC, PloterrCTW, PloterrCWD, errCAS, errCAll, errCLT, errCSC, errCTW

Examples

n=5; alp=0.05; phi=0.05;c=1/(2*n); f=-2
errCWD(n,alp,phi,c,f)

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