Confidence and prediction intervals for generalised linear accident models

被引：44
|
作者：
Wood, GR [1 ]
机构：
[1] Macquarie Univ, Dept Stat, Sydney, NSW 2109, Australia
来源：
ACCIDENT ANALYSIS AND PREVENTION | 2005年 / 37卷 / 02期
关键词：
generalised linear model; negative binomial; Poisson;
D O I：
10.1016/j.aap.2004.10.005
中图分类号：
TB18 [人体工程学];
学科分类号：
1201 ;
摘要：
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. (C) 2004 Elsevier Ltd. All rights reserved.
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页码：267 / 273
页数：7
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