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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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| Veröffentlicht in: | Entropy (Basel) |
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| Hauptverfasser: | , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
MDPI
2018
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| Schlagworte: | |
| Online Zugang: | 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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