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• W2080587907 abstract "This paper describes and implements three computationally attractive procedures for nonparametric estimation of mixing distributions in discrete choice models. The procedures are specific types of the well known EM (Expectation-Maximization) algorithm based on three different ways of approximating the mixing distribution nonparametrically: (1) a discrete distribution with mass points and frequencies treated as parameters, (2) a discrete mixture of continuous distributions, with the moments and weight for each distribution treated as parameters, and (3) a discrete distribution with fixed mass points whose frequencies are treated as parameters. The methods are illustrated with a mixed logit model of households' choices among alternative-fueled vehicles." @default.
• W2080587907 created "2016-06-24" @default.
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• W2080587907 date "2008-01-01" @default.
• W2080587907 modified "2023-10-17" @default.
• W2080587907 title "EM Algorithms for nonparametric estimation of mixing distributions" @default.
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• W2080587907 doi "https://doi.org/10.1016/s1755-5345(13)70022-8" @default.
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