Strategic sampling for large choice sets in estimation and application
نویسندگان
چکیده
منابع مشابه
Strategic Sampling for Large Choice Sets in Estimation and Application
Many discrete choice contexts in transportation deal with large choice sets, including destination, route, and vehicle choices. Model estimation with large numbers of alternatives remains computationally expensive. In the context of the multinomial logit (MNL) model, limiting the number of alternatives in estimation by simple random sampling (SRS) yields consistent parameter estimates, but esti...
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ژورنال
عنوان ژورنال: Transportation Research Part A: Policy and Practice
سال: 2012
ISSN: 0965-8564
DOI: 10.1016/j.tra.2011.11.004