Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1148932 | Journal of Statistical Planning and Inference | 2006 | 13 Pages |
Abstract
In addition partial prior information about the k-suppliers collectively is assumed to have been elicited. This situation is modelled using the hierarchical Bayesian approach, which easily facilitates interpreting the elicited partial prior information as constraints on the hyperpriors, i.e. hyperpriors that are known only to be contained in families with specified properties. In this paper these properties are assumed to be in the form of specifying certain quantiles arising from the elicited information. Minimum and maximum values of the above selection criteria are obtained and are used to indicate whether or not the elicited prior information is useful. Specific examples are given for comparing two suppliers but generalisation to k-suppliers follows easily.
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
John J. Deely, Wesley O. Johnson,