Talk:Mixed logit
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Jeremy, | Jeremy, | ||
| - | You are right. I explained the things in the way you described but the figures could make people confused. I | + | You are right. I explained the things in the way you described but the figures could make people confused. I just seperated figure into three and will add more explaination. |
Norman | Norman | ||
Revision as of 19:50, 29 November 2006
Norman,
This page is mixing up the concept of the form of the utility function for an individual consumer (continuous vs. discrete) with the concept of the distribution of the utility function parameters across the consumers. Mixed logit deals with a distribution of beta values (continuous or discrete) over the consumers, whereas the graphs you have drawn show utility as a function of the attribute level. These are two different concepts. I hope that the discussion we had in the lab today has cleared this up. If not, please ask.
Jeremy,
You are right. I explained the things in the way you described but the figures could make people confused. I just seperated figure into three and will add more explaination.
Norman
