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

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Description

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

Usage

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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

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## 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)

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