PlotcovpBA: Graphs of Coverage Probability of the Bayesian method

In proportion: Inference on Single Binomial Proportion and Bayesian Computations

Description

Graphs of Coverage Probability of the Bayesian method

Usage

PlotcovpBA(n, alp, a, b, t1, t2, a1, a2)

Arguments

n	- Number of trials
alp	- Alpha value (significance level required)
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
a1	- Beta Prior Parameters for Bayesian estimation
a2	- Beta Prior Parameters for Bayesian estimation

Details

The graphs of Coverage Probability of Bayesian method

See Also

Other Basic coverage probability methods: PlotcovpAS, PlotcovpAll, PlotcovpEX, PlotcovpLR, PlotcovpLT, PlotcovpSC, PlotcovpTW, PlotcovpWD, covpAS, covpAll, covpBA, covpEX, covpLR, covpLT, covpSC, covpTW, covpWD

Examples

## Not run: 
n= 10; alp=0.05; a=1;b=1; t1=0.93;t2=0.97;a1=1;a2=1
PlotcovpBA(n,alp,a,b,t1,t2,a1,a2)

## End(Not run)

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