On maximum entropy priors and a most likely likelihood in auditing.

Hernández Bastida, Agustín, Martel Escobar, María del C., and Vázquez Polo, Francisco José. "On maximum entropy priors and a most likely likelihood in auditing.." Qüestiió 22.2 (1998): 231-242. <http://eudml.org/doc/40256>.

@article{HernándezBastida1998,
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 θ0 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, θ0. We will see some practical applications of the methodology proposed about internal control evaluation in auditing.},
author = {Hernández Bastida, Agustín, Martel Escobar, María del C., Vázquez Polo, Francisco José},
journal = {Qüestiió},
keywords = {Inferencia bayesiana; Estimador de máxima verosimilitud; Antecedentes; maximum entropy prior; partial prior information; auditing},
language = {eng},
number = {2},
pages = {231-242},
title = {On maximum entropy priors and a most likely likelihood in auditing.},
url = {http://eudml.org/doc/40256},
volume = {22},
year = {1998},
}

TY - JOUR
AU - Hernández Bastida, Agustín
AU - Martel Escobar, María del C.
AU - Vázquez Polo, Francisco José
TI - On maximum entropy priors and a most likely likelihood in auditing.
JO - Qüestiió
PY - 1998
VL - 22
IS - 2
SP - 231
EP - 242
AB - 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 θ0 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, θ0. We will see some practical applications of the methodology proposed about internal control evaluation in auditing.
LA - eng
KW - Inferencia bayesiana; Estimador de máxima verosimilitud; Antecedentes; maximum entropy prior; partial prior information; auditing
UR - http://eudml.org/doc/40256
ER -