dc.contributor.author | Karlaftis, M | en |
dc.contributor.author | Tarko, A | en |
dc.date.accessioned | 2014-03-01T01:46:44Z | |
dc.date.available | 2014-03-01T01:46:44Z | |
dc.date.issued | 1998 | en |
dc.identifier.uri | https://dspace.lib.ntua.gr/xmlui/handle/123456789/25027 | |
dc.subject | Cluster Analysis | en |
dc.subject | Count Data | en |
dc.subject | Cross Section | en |
dc.subject | Model Development | en |
dc.subject | Modeling Technique | en |
dc.subject | Negative Binomial Model | en |
dc.subject | Panel Data | en |
dc.subject | Random Effects Model | en |
dc.subject | Statistical Test | en |
dc.subject | Time Trend | en |
dc.title | Heterogeneity considerations in accident modeling | en |
heal.type | journalArticle | en |
heal.identifier.primary | 10.1016/S0001-4575(97)00122-X | en |
heal.identifier.secondary | http://dx.doi.org/10.1016/S0001-4575(97)00122-X | en |
heal.publicationDate | 1998 | en |
heal.abstract | Panel data sets are becoming readily available and increasingly popular in safety research. Despite its advantages, panel data raises new specification issues, the most important of which is heterogeneity, which have not been addressed in previous studies in the safety area. Based on a county accident data set, the present analysis extends prior research in a significant direction. There is | en |
heal.journalName | Accident Analysis and Prevention | en |
dc.identifier.doi | 10.1016/S0001-4575(97)00122-X | en |
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