Bayesian model comparison and model averaging for small-area estimation
| dc.creator | Aitkin, Murray | |
| dc.creator | Liu, Charles C. | |
| dc.creator | Chadwick, Tom | |
| dc.date | 2009-05-22 | |
| dc.date.accessioned | 2026-07-07T13:17:33Z | |
| dc.date.available | 2026-07-07T13:17:33Z | |
| dc.description | This paper considers small-area estimation with lung cancer mortality data, and discusses the choice of upper-level model for the variation over areas. Inference about the random effects for the areas may depend strongly on the choice of this model, but this choice is not a straightforward matter. We give a general methodology for both evaluating the data evidence for different models and averaging over plausible models to give robust area effect distributions. We reanalyze the data of Tsutakawa [Biometrics 41 (1985) 69--79] on lung cancer mortality rates in Missouri cities, and show the differences in conclusions about the city rates from this methodology. | |
| dc.description | Published in at http://dx.doi.org/10.1214/08-AOAS205 the Annals of Applied Statistics (http://www.imstat.org/aoas/) by the Institute of Mathematical Statistics (http://www.imstat.org) | |
| dc.identifier | https://arxiv.org/abs/0905.3620 | |
| dc.identifier | http://arxiv.org/abs/0905.3620 | |
| dc.identifier | Annals of Applied Statistics 2009, Vol. 3, No. 1, 199-221 | |
| dc.identifier | doi:10.1214/08-AOAS205 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/231144 | |
| dc.subject | Applications | |
| dc.title | Bayesian model comparison and model averaging for small-area estimation | |
| dc.type | text |