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Our World Statistics Day conversations have been a great reminder of how much statistics can inform our lives. Do you have an example of how statistics has made a difference in your life? Share your story with the Community!
Nov 26, 2019 6:35 AM
| Last Modified: Nov 26, 2019 7:31 AM(668 views)
I am analyzing different mixed logit models on my data from a discrete choice experiment. I am using the 'Hierarchical Bayes estimation' under the 'Consumer Platform'. However, when I select 'save utility formula', the saved parameter estimates (picture 1 in attachment) differ from the posterior mean parameter estimations (picture 2). What do the saved parameter estimates represent then?