Additive models with predictors subject to measurement error
UTSePress Research/Manakin Repository
JavaScript is disabled for your browser. Some features of this site may not work without it.
- UTSePress Research Home
- >
- 01 Mathematical Sciences
- >
- Journal Articles
- >
- Closed
- >
- View Item
| dc.contributor.author | Ganguli Bhaswati | en_US |
| dc.contributor.author | Staudenmayer John | en_US |
| dc.contributor.author | Wand Matt | en_US |
| dc.contributor.editor | en_US | |
| dc.date.accessioned | 2011-02-07T06:17:48Z | |
| dc.date.available | 2011-02-07T06:17:48Z | |
| dc.date.issued | 2005 | en_US |
| dc.identifier | 2010000113 | en_US |
| dc.identifier.citation | Ganguli Bhaswati, Staudenmayer John, and Wand Matt 2005, 'Additive models with predictors subject to measurement error', Blackwell Publishing Ltd, vol. 47, no. 2, pp. 193-202. | en_US |
| dc.identifier.issn | 1369-1473 | en_US |
| dc.identifier.other | C1 | en_US |
| dc.identifier.uri | http://hdl.handle.net/10453/12986 | |
| dc.description.abstract | This paper develops a likelihood-based method for fitting additive models in the presence of measurement error. It formulates the additive model using the linear mixed model representation of penalized splines. In the presence of a structural measurement error model, the resulting likelihood involves intractable integrals, and a Monte Carlo expectation maximization strategy is developed for obtaining estimates. The method's performance is illustrated with a simulation study. | en_US |
| dc.language | en_US | |
| dc.publisher | Blackwell Publishing Ltd | en_US |
| dc.relation.isbasedon | http://dx.doi.org/10.1111/j.1467-842X.2005.00383.x | en_US |
| dc.title | Additive models with predictors subject to measurement error | en_US |
| dc.parent | Australian & New Zealand Journal of Statistics | en_US |
| dc.journal.volume | 47 | en_US |
| dc.journal.number | 2 | en_US |
| dc.publocation | Australia | en_US |
| dc.identifier.startpage | 193 | en_US |
| dc.identifier.endpage | 202 | en_US |
| dc.cauo.name | SCI.Mathematical Sciences | en_US |
| dc.conference | Verified OK | en_US |
| dc.for | 010400 | en_US |
| dc.personcode | 0000064878;0000064879;110509 | en_US |
| dc.percentage | 000100 | en_US |
| dc.classification.name | Statistics | en_US |
| dc.classification.type | FOR-08 | en_US |
| dc.edition | en_US | |
| dc.custom | en_US | |
| dc.date.activity | en_US | |
| dc.location.activity | en_US | |
| dc.description.keywords | * Metropolis-Hastings; * mixed models; * Monte Carlo expectation maximization; * nested EM; * penalized splines; * restricted maximum likelihood | en_US |
| dc.staffid | Indian Institute of Management - Calcutta;University of Massachusetts | en_US |
