期刊
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
卷 41, 期 7, 页码 784-794出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.trb.2007.01.002
关键词
mixed logit; random parameters; nonparametric; seminonparametric; hypothesis testing
The choice of a specific distribution for random parameters of discrete choice models is a critical issue in transportation analysis. Indeed, various pieces of research have demonstrated that an inappropriate choice of the distribution may lead to serious bias in model forecast and in the estimated means of random parameters. In this paper, we propose a practical test, based on seminonparametric techniques. The test is analyzed both on synthetic and real data, and is shown to be simple and powerful. (c) 2007 Elsevier Ltd. All rights reserved.
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