PlotcovpBA: Graphs of Coverage Probability of the Bayesian method

In RajeswaranV/proportion: Inference on Single Binomial Proportion and Bayesian Computations

Graphs of Coverage Probability of the Bayesian method

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)

RajeswaranV/proportion documentation built on June 17, 2022, 9:11 a.m.