simulateT: Simulating the Total Number of Accounts in Error
Description
Considered a stratified finite population of accounts where each
account is classified as either acceptable or in error. Based on a
stratified random sample of accounts an auditor is required to give
an upper 95
the population that are in error. Given the sample this uses
the posterior distribution from a simple hierarchical Bayes model
to simulate possible values for T. The 0.95 quantile for this posterior
will be an approximate 95
populations.
Usage
simulateT(smp,n,N,grd,R)
Arguments
smp
numeric vector of the number of accounts in error in each
strata in the sample
n
numeric vector of the number of accounts sampled in each
strata in the population
N
numeric vector of the total number of accounts in each strata
in the population
grd
numeric vector of values usually taken to be
seq(0.0001,0.1499,length = 11)
R
an integer which is the number of simulated values of T
returned
Value
A vector of length R containing simulated values of T
References
Meeden, G. and Sargent, D. (2007)
Some Bayesian methods for two auditing problems.
Communications in Statistics --- Theory and Methods,
36, 2727--2740.
10.1080/03610920701386802.
# NOT RUN {grd <- seq(0.0001,0.15,length = 11)
smp <- c(2,1,0)
n <- c(75,50,25)
N <- c(5000,3000,2000)
as.numeric(quantile(simulateT(smp,n,N,grd,40000),0.95))
# }