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Poisson dynamic models. An application to interurban accidents in Spain
Cita
González Fernández, María Camino, Mira McWilliams, José Manuel 
ORCID: https://orcid.org/0000-0001-6105-8714, Arenas Ramírez, Blanca del Valle ORCID: https://orcid.org/0000-0003-0446-6417 and Saenz Sagástegui, Claudia
(2014).
Poisson dynamic models. An application to interurban accidents in Spain.
En: "TRA2014 Transport Research Arena 2014 Transport Solutions: from Research to Deployment - Innovate Mobility, Mobilise Innovation!", 14-17 abril 2014, Paris. p. 1.
ORCID: https://orcid.org/0000-0001-6105-8714, Arenas Ramírez, Blanca del Valle ORCID: https://orcid.org/0000-0003-0446-6417 and Saenz Sagástegui, Claudia
(2014).
Poisson dynamic models. An application to interurban accidents in Spain.
En: "TRA2014 Transport Research Arena 2014 Transport Solutions: from Research to Deployment - Innovate Mobility, Mobilise Innovation!", 14-17 abril 2014, Paris. p. 1.
Descripción
| Título: | Poisson dynamic models. An application to interurban accidents in Spain |
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| Autor/es: |
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| Tipo de Documento: | Ponencia en Congreso o Jornada (Póster) |
| Título del Evento: | TRA2014 Transport Research Arena 2014 Transport Solutions: from Research to Deployment - Innovate Mobility, Mobilise Innovation! |
| Fechas del Evento: | 14-17 abril 2014 |
| Lugar del Evento: | Paris |
| Título del Libro: | TRA 2014 Proceedings |
| Fecha: | 2014 |
| Materias: | |
| ODS: | |
| Escuela: | E.T.S.I. Industriales (UPM) |
| Departamento: | Ingeniería de Organización, Administración de Empresas y Estadística |
| Licencias Creative Commons: | Reconocimiento - Sin obra derivada - No comercial |
Resumen
In this study we apply count data models to four integer–valued time series related to accidentality in Spanish roads applying both the frequentist and Bayesian approaches. The time series are: number of fatalities, number of fatal accidents, number of killed or seriously injured (KSI) and number of accidents with KSI. The model structure is Poisson regression with first order autoregressive errors. The purpose of the paper is first to sort out the explanatory variables by relevance and second to carry out a prediction exercise for validation.
Más información
| ID de Registro: | 37050 |
|---|---|
| Identificador DC: | https://oa.upm.es/37050/ |
| Identificador OAI: | oai:oa.upm.es:37050 |
| URL Oficial: | http://tra2014.traconference.eu/papers/html/index.... |
| Depositado por: | Memoria Investigacion |
| Depositado el: | 17 Jul 2015 16:31 |
| Ultima Modificación: | 20 Feb 2024 07:38 |
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