| dc.contributor.author | Fricker, Ronald D. Jr. | en |
| dc.contributor.author | Banschbach, D. | en |
| dc.date.accessioned | 2016-12-28T01:06:35Z | en |
| dc.date.available | 2016-12-28T01:06:35Z | en |
| dc.date.issued | 2012-04 | en |
| dc.identifier.issn | 1566-2535 | en |
| dc.identifier.uri | http://hdl.handle.net/10919/73844 | en |
| dc.format.extent | 117 - 128 page(s) | en |
| dc.rights | In Copyright | en |
| dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | en |
| dc.title | Optimizing biosurveillance systems that use threshold-based event detection methods | en |
| dc.type | Article - Refereed | en |
| dc.description.version | Published (Publication status) | en |
| dc.contributor.department | Statistics | en |
| dc.description.notes | Because the authors were US Government employees at the time of publication, the publisher does not hold the copyright. | en |
| dc.title.serial | Information Fusion | en |
| dc.identifier.doi | https://doi.org/10.1016/j.inffus.2009.12.002 | en |
| dc.identifier.volume | 13 | en |
| dc.identifier.issue | 2 | en |
| pubs.organisational-group | /Virginia Tech | en |
| pubs.organisational-group | /Virginia Tech/All T&R Faculty | en |
| pubs.organisational-group | /Virginia Tech/Science | en |
| pubs.organisational-group | /Virginia Tech/Science/COS T&R Faculty | en |
| pubs.organisational-group | /Virginia Tech/Science/Statistics | en |
