| Article ID: | iaor2009286 |
| Country: | United Kingdom |
| Volume: | 59 |
| Issue: | 2 |
| Start Page Number: | 252 |
| End Page Number: | 258 |
| Publication Date: | Feb 2008 |
| Journal: | Journal of the Operational Research Society |
| Authors: | Knott C.L., Hahn Eugene D. |
| Keywords: | government, decision theory: multiple criteria |
A new approach for examining quality improvement initiatives regarding errors in the US Census Bureau's Master Address File (MAF) and the Topologically Integrated Geographic and Referencing System (TIGER) databases is presented, A stochastic multi-criteria decision-making method involving Bayesian weighted hierarchical multinomial logit models is used to conduct inference on the priorities in a multiple-expert decision scenario.