Confidence and prediction intervals for generalised linear accident models

G. R. Wood*

*Corresponding author for this work

    Research output: Contribution to journalArticle

    39 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 languageEnglish
    Pages (from-to)267-273
    Number of pages7
    JournalAccident Analysis and Prevention
    Volume37
    Issue number2
    DOIs
    Publication statusPublished - Mar 2005

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