PlotcovpSIM: Plots graph of simulation based Coverage Probability with...

In proportion: Inference on Single Binomial Proportion and Bayesian Computations

Description

Plots graph of simulation based Coverage Probability with simulated p in [0,1]

Usage

PlotcovpSIM(n, LL, UL, alp, s, a, b, t1, t2)

Arguments

n	- Number of trials
LL	- Lower limit
UL	- Upper limit
alp	- Alpha value (significance level required)
s	- Number of hypothetical "p"
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

Graphical evaluation of intervals obtained from any method using coverage probability, root mean square statistic, and the proportion of proportion lies within the desired level of coverage for the n + 1 intervals and pre-defined space for the parameter p using Monte Carle simulation

See Also

Other Simulated methods for coverage probability: covpSIM

Examples

## Not run: 
LL=c(0,0.01,0.0734,0.18237,0.3344,0.5492)		#Lower and Upper Limits
UL=c(0.4507,0.6655,0.8176,0.9265,0.9899,1)
n= 5; alp=0.05; s=5000; a=1; b=1; t1=0.93; t2=0.97
PlotcovpSIM(n,LL,UL,alp,s,a,b,t1,t2)

## End(Not run)

Example output

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