Analyzing injury crashes using random-parameter bivariate regression models-Reference-Cited by-同舟云学术

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Analyzing injury crashes using random-parameter bivariate regression models

Published:2016-05-10 Issue:9 Volume:12 Page:794-810
ISSN:2324-9935
Container-title:Transportmetrica A: Transport Science
language:en
Short-container-title:Transportmetrica A: Transport Science

Author:

Dong Chunjiao,Clarke David B.,Nambisan Shashi S.,Huang Baoshan

Funder

Southeastern Transportation Center - a Regional UTC funded by the USDOT Research and Innovative Technology Administration.

Publisher

Informa UK Limited

Subject

General Engineering,Transportation

Link

http://www.tandfonline.com/doi/pdf/10.1080/23249935.2016.1177134

Reference40 articles.

1. A note on modeling vehicle accident frequencies with random-parameters count models

2. A multivariate tobit analysis of highway accident-injury-severity rates

3. The covariance between the number of accidents and the number of victims in multivariate analysis of accident related outcomes

4. A latent variable representation of count data models to accommodate spatial and temporal dependence: Application to predicting crash frequency at intersections

5. Posterior simulation and Bayes factors in panel count data models

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