Logo do repositório
 
Publicação

Optimized Audit with Risk-based Sampling [poster]

2025-07-10Póster em conferência Acesso aberto
Ver registo simples
dc.contributor.authorDias, Isabel
dc.contributor.institutionInformation Management Research Center (MagIC) - NOVA Information Management School
dc.contributor.institutionNOVA Information Management School (NOVA IMS)
dc.date.accessioned2025-07-30T21:22:18Z
dc.date.available2025-07-30T21:22:18Z
dc.date.issued2025-07-10
dc.descriptionDias, I. (2025). Optimized Audit with Risk-based Sampling [poster]. Poster session presented at Data Research Meetup by MagIC, Lisboa, Portugal. --- This work was supported by national funds through FCT (Fundação para a Ciência e a Tecnologia), under the project - UIDB/04152 - Centro de Investigação em Gestão de Informação (MagIC)/NOVA IMS.
dc.description.abstractAuditors aim to detect and quantify errors in financial statements, but the large volume of data makes full review impractical. Sampling is used instead, often through Monetary Unit Sampling (MUS), where items are selected with probability proportional to their value, reflecting that high-value items are more likely to carry significant error. Audit populations typically contain many items with no error and a small subset with highly variable errors [1]. Estimating total error becomes difficult when these non-zero errors are rare. Incorporating auxiliary information, such as historical risk assessments, can improve sampling precision [2]. Prior work has used such data to assess risk or refine error bounds [3, 4], but less attention has been given to using it at the sample selection stage. This study proposes a sampling method that integrates historical audit data to assign risk scores, allowing for risk-weighted selection. The goal is to better represent the error structure of the population and improve the accuracy of error estimates.en
dc.description.versionpublishersversion
dc.description.versionpublished
dc.format.extent1
dc.format.extent2408524
dc.identifier.otherPURE: 123413042
dc.identifier.otherPURE UUID: 7433f844-73ab-4d3e-9fb9-333e1f8b299a
dc.identifier.urihttp://hdl.handle.net/10362/185781
dc.language.isoeng
dc.peerreviewedno
dc.relationhttps://doi.org/10.54499/UID/04152/2025
dc.relationhttps://doi.org/10.54499/UID/PRR/04152/2025
dc.subjectSDG 9 - Industry, Innovation, and Infrastructure
dc.subjectSDG 16 - Peace, Justice and Strong Institutions
dc.titleOptimized Audit with Risk-based Sampling [poster]en
dc.typeconference poster
degois.publication.issue2
degois.publication.titleData Research Meetup by MagIC
dspace.entity.typePublication
rcaap.rightsopenAccess

Ficheiros

Principais
A mostrar 1 - 1 de 1
Miniatura
Nome:
Optimized_Audit_with_Risk-based_Sampling.pdf
Tamanho:
2.3 MB
Formato:
Adobe Portable Document Format
Ver/Abrir

Coleções

NIMS: MagIC - Documentos de conferências nacionais