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Bayesian Inference in Auditing with Partial Prior Information Using Maximum Entropy Priors

Problems in statistical auditing are usually one–sided. In fact, the main interest for auditors is to determine the quantiles of the total amount of error, and then to compare these quantiles with a given materiality fixed by the auditor, so that the accounting statement can be accepted or rejected....

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Détails bibliographiques
Publié dans:Entropy (Basel)
Auteurs principaux: Martel-Escobar, María, Vázquez-Polo, Francisco-José, Hernández-Bastida, Agustín
Format: Artigo
Langue:Inglês
Publié: MDPI 2018
Sujets:
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC7512506/
https://ncbi.nlm.nih.gov/pubmed/33266643
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/e20120919
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