Time series count data models: an empirical application to traffic accidents

Count data are primarily categorised as cross-sectional, time series, and panel. Over the past decade, Poisson and Negative Binomial (NB) models have been used widely to analyse cross-sectional and time series count data, and random effect and fixed effect Poisson and NB models have been used to ana...

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Bibliographic Details
Main Author: Mohammed A. Quddus
Format: Default Article
Published: 2008
Subjects:
Other built environment and design not elsewhere classified
Traffic accidents
Time series count data
Integer-valued autoregressive
Negative binomial
Accident prediction models
Built Environment and Design not elsewhere classified
Online Access:https://hdl.handle.net/2134/5308
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https://hdl.handle.net/2134/5308

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