Mixed logit
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Mixed logit is the derivation and extension of standard [[logit model]]. | Mixed logit is the derivation and extension of standard [[logit model]]. | ||
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+ | [[maximum likelihook estimation]] (MLE) and [[hierachcy Baysian]] (HB) methods. | ||
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+ | ==Reference== | ||
+ | *K.E. Train, Discrete Chocie Methods with Simulation, 2003, Cambrige Universty Press. | ||
+ | * |
Revision as of 00:06, 24 November 2006
Mixed logit is the derivation and extension of standard logit model.
maximum likelihook estimation (MLE) and hierachcy Baysian (HB) methods.
Reference
- K.E. Train, Discrete Chocie Methods with Simulation, 2003, Cambrige Universty Press.