Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/47678
Title: Analysing the independence hypothesis in models for rare errors: an application to auditing
Authors: Martel Escobar, María Carmen 
Vázquez Polo, Francisco José 
Hernández Bastida, A.
UNESCO Clasification: 530202 Modelos econométricos
Keywords: Estadística bayesiana
Auditorías
Issue Date: 2005
Publisher: 0035-9254
Journal: Journal of the Royal Statistical Society. Series C: Applied Statistics 
Abstract: Populations where items are error free are found in many areas of applied statistics, such as auditing and actuarial science. Decisions are then made by inferring the total error in a population. This parameter is usually modelled by two parametric structures under the assumption of prior independence. This paper explores the usefulness of robust Bayesian techniques in the setting of an applied problem. The results reveal a dramatic lack of robustness with regard to the independence hypothesis
URI: http://hdl.handle.net/10553/47678
ISSN: 0035-9254
DOI: 10.1111/j.1467-9876.2005.0d479.x
Source: Journal of the Royal Statistical Society. Series C: Applied Statistics[ISSN 0035-9254],v. 54, p. 795-804
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