choice-metrics.com

Hi John,

thank you for the * trick! I'll try that.

Have a safe trip.

Simone

Hi John,

I have other few questions about the aforesaid design.

1. I’m not really satisfied with designs produced by Ngene after 60000 evaluations. I carefully examined many alternative designs, but I always have 3 or 4 over 12 choice tasks where one alternative clearly dominates the other two. I ...

Hi John,

this helps a lot. Thank you very much!

1. An error component is nothing more than a random normal distribution with mean fixed at zero.What is estimated is the standard deviation parameter. Note that in estimation, the standard deviation parameter can be +/- (it is reported as a minus ...

Hi John,

Using data from a pilot study, I ran an ECM in biogeme and I got the prior parameter for my error component s1. In particular I got the a beta(s1) = -1.27 with std. error 0.173.

The problem with my design was that I put as the prior parameter the st.error(s1) (=0.173) instead of the beta ...

Dear all,

I want to generate a pivot design assuming a panel error component model. Using the following code, I had:

1. very good d error and s estimate for the MNL model: d error=0.0113 and s estimate= 13.972
2. good d error, but very bad s estimate for the EC model: d error=0.180 and s estimate ...

Hi John,

ok, I'm looking forward to see the new version of Ngene. Thank you for the quick reply.

Simone

Dear all,

I have a simple question, it is possible to generate designs considerino non-linear utility functions? I’m not talking about dummy or effect coding, but I have another problem.

In my choice experiment I have three attributes:

A. Outcome with 3 levels
B. Probability that the outcome ...