Confidence and prediction intervals for generalised linear accident models

G. R. Wood

doi:10.1016/j.aap.2004.10.005

Confidence and prediction intervals for generalised linear accident models

G. R. Wood^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

50 Citations (Scopus)

Abstract

Generalised linear models, with "log" link and either Poisson or negative binomial errors, are commonly used for relating accident rates to explanatory variables. This paper adds to the toolkit for such models. It describes how confidence intervals (for example, for the true accident rate at given flows) and prediction intervals (for example, for the number of accidents at a new site with given flows) can be produced using spreadsheet technology.

Original language	English
Pages (from-to)	267-273
Number of pages	7
Journal	Accident Analysis and Prevention
Volume	37
Issue number	2
DOIs	https://doi.org/10.1016/j.aap.2004.10.005
Publication status	Published - Mar 2005

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10.1016/j.aap.2004.10.005

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Confidence and prediction intervals for generalised linear accident models

Abstract

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