@article{ref1,
title="Applications of classification and regression tree methods in roadway safety studies",
journal="Transportation research record",
year="1996",
author="Stewart, J.",
volume="1542",
number="",
pages="1-5",
abstract="In recent years a number of nonparametric regression-type statistical procedures have been developed. Classification and regression trees (CART) is one such method that can be used as a classifier for a discrete-valued response variable or as a regression model for a continuous response variable. Advantages of CART over many other methods are its ability to include a relatively large number of independent variables and to identify complex interactions among these variables. A brief description of the CART procedure is given, and its application as a classifier and as a regression model to highway safety analyses is illustrated.<p /><p>Language: en</p>",
language="en",
issn="0361-1981",
doi="10.3141/1542-01",
url="http://dx.doi.org/10.3141/1542-01"
}