Analysing the independence hypothesis in models for rare errors: an application to auditing

$48.00 plus tax (Refund Policy)

Download / Buy Article:

Abstract:

Summary. 

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.

Keywords: Auditing; Bayesian robustness; Independence; Linearization algorithm; Rare errors

Document Type: Research Article

DOI: http://dx.doi.org/10.1111/j.1467-9876.2005.0d479.x

Affiliations: 1: Universidad de Las Palmas de Gran Canaria, Spain 2: University of Granada, Spain

Publication date: August 1, 2005

Related content

Tools

Favourites

Share Content

Access Key

Free Content
Free content
New Content
New content
Open Access Content
Open access content
Subscribed Content
Subscribed content
Free Trial Content
Free trial content
Cookie Policy
X
Cookie Policy
ingentaconnect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more