Logit discrete choice model: a new distribution-free justification

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Logit discrete choice model: a new distribution-free justification

According to decision making theory, if we know the user’s utility Ui = U(si) of all possible alternatives si, then we can uniquely predict the user’s preferences. In practice, we often only know approximate values Vi ≈ Ui of the user’s utilities. Based on these approximate values, we can only make probabilistic predictions of the user’s preferences. It is empirically known that in many real-li...

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The multinomial logit model (MNL) has for many years provided the fundamental platform for the analysis of discrete choice. The basic model’s several shortcomings, most notably its inherent assumption of independence from irrelevant alternatives (IIA) have motivated researchers to develop a variety of alternative formulations. The mixed logit model stands as one of the most significant of these...

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ژورنال

عنوان ژورنال: Soft Computing

سال: 2008

ISSN: 1432-7643,1433-7479

DOI: 10.1007/s00500-008-0306-z