Description Usage Arguments Value References Examples

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.

1 | ```
simulateT(smp,n,N,grd,R)
``` |

`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 |

A vector of length R containing simulated values of T

Meeden, G. and Sargent, D. (2007)
Some Bayesian methods for two auditing problems.
*Communications in Statistics — Theory and Methods*,
**36**, 2727–2740.
doi: 10.1080/03610920701386802.

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