Conformance Analysis of Population Means under Restricted Stratified Sampling

Rainer Göb () and Arne Müller
Additional contact information
Rainer Göb: Universität Würzburg, Institut für Angewandte Mathematik und Statistik
Arne Müller: Universität Würzburg, Institut für Angewandte Mathematik und Statistik

A chapter in Frontiers in Statistical Quality Control 9, 2010, pp 237-261 from Springer

Abstract: Summary Risk based auditing has recently been promoted by national and international auditing standards, e. g., SAS 10 through SAS 111, ISA 315 and ISA 330, IDW PS 261. These schemes have created a broadening demand for stochastic methods of risk quantification and risk control in the auditing community. In particular, risk based auditing requires the specification and control of the detection risk, i. e., the probability that the auditor erroneously approves the conformance of the financial statements of the audited entity with the de facto financial status. Confronted with large volumes of accounting and inventory data, auditors are interested in sampling based methods of conformance testing. Customary sampling schemes are not completely in line with the requirements of conformance testing in auditing. The paper introduces restricted stratified sampling as a viable scheme for auditing purposes.

Keywords: Conformance Analysis; Restricted Sampling; Enterprise Resource Planning; Audit Standard; Sales Transaction (search for similar items in EconPapers)
Date: 2010
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-7908-2380-6_16

Ordering information: This item can be ordered from
http://www.springer.com/9783790823806

DOI: 10.1007/978-3-7908-2380-6_16

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().