PlotcovpALT: Plots the Coverage Probability using adjusted Logistic Wald...

In proportion: Inference on Single Binomial Proportion and Bayesian Computations

Description

Plots the Coverage Probability using adjusted Logistic Wald method

Usage

PlotcovpALT(n, alp, h, a, b, t1, t2)

Arguments

n	- Number of trials
alp	- Alpha value (significance level required)
h	- Adding factor
a	- Beta parameters for hypo "p"
b	- Beta parameters for hypo "p"
t1	- Lower tolerance limit to check the spread of coverage Probability
t2	- Upper tolerance limit to check the spread of coverage Probability

Details

The plots of the Coverage Probability of adjusted Logistic Wald method for n given alp, h, a, b, t1 and t2 using all the methods

See Also

Other Coverage probability of adjusted methods: PlotcovpAAS, PlotcovpAAll, PlotcovpALR, PlotcovpASC, PlotcovpATW, PlotcovpAWD, covpAAS, covpAAll, covpALR, covpALT, covpASC, covpATW, covpAWD

Examples

## Not run: 
n= 10; alp=0.05; h=2;a=1;b=1; t1=0.93;t2=0.97
PlotcovpALT(n,alp,h,a,b,t1,t2)

## End(Not run)

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