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http://hdl.handle.net/10553/71018
Title: | On maximum entropy priors and a most likely likelihood in auditing | Authors: | Hernández Bastida, Agustín Martel Escobar, María del Carmen Vázquez Polo, Francisco José |
UNESCO Clasification: | 530601 Economía, investigación y desarrollo experimental | Keywords: | Entropia Auditoría Auditing Maximum Entropy Prior Partial Prior Information |
Issue Date: | 1998 | Journal: | Questiio | Abstract: | There are two basic questions auditors and accountants must consider when developing test and estimation applications using Bayes' Theorem: What prior probability function should be used and what likelihood function should be used. In this paper we propose to use a maximum entropy prior probability function MEP with the most likely likelihood function MLL in the Quasi-Bayesian QB model introduced by McCray (1984). It is defined on an adequate parameter. Thus procedure only needs an expected value of ?0 known (in this paper the expected tainting) to obtain a MEP all an auditor or accountant need to supply are the range, as with any other prior, and the expected tainting, ?0. We will see some practical applications of the methodology proposed about internal control evaluation in auditin. | URI: | http://hdl.handle.net/10553/71018 | ISSN: | 0210-8054 | Source: | Questiió: Quaderns d'Estadística, Sistemes, Informatica i Investigació Operativa [ISSN 0210-8054],v. 22 (2), p. 231-242 | URL: | http://dialnet.unirioja.es/servlet/articulo?codigo=2363828 |
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