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1992 | OriginalPaper | Buchkapitel

Sampling Accounting Populations: A Comparison of Monetary Unit Sampling and Sieve Sampling in Substantive Auditing

verfasst von : Jane M. Horgan

Erschienen in: Computational Statistics

Verlag: Physica-Verlag HD

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A population of debtors in an Irish company is audited and the results are analyzed to establish the error rates and error patterns. Audit populations are created based on the error patterns found in the sample audit. Simulation studies are carried out, using monetary unit sampling and sieve sampling, to examine the comparative performance of an estimator of total error amount in monetary unit sampling and sieve sampling. The empirical results indicate that sieve sampling is more efficient than simple random sampling for most sample sizes in all of the populations studied and is more efficient than systematic sampling for the larger sample sizes.

Metadaten
Titel
Sampling Accounting Populations: A Comparison of Monetary Unit Sampling and Sieve Sampling in Substantive Auditing
verfasst von
Jane M. Horgan
Copyright-Jahr
1992
Verlag
Physica-Verlag HD
DOI
https://doi.org/10.1007/978-3-642-48678-4_57