choice-metrics.com

Thank you.

Thank you.

I have run the below efficient design and I have the following questions.

1) The design does not converge or take long to converge however, I do get a design at around evaluation 5354. Can I proceed with this design or must I use one that has converged?
2) I'd like to keep the design to ...

Thank you. I've run your syntax and so far the design shows a large s-estimate of 11928. I'm aiming for an s-estimate of 300 maximum.

The estimated t-ratios are well below 1.96 except for fare. How do I resolve this.

Thank you

For the below orthogonal design I'm getting an error which says that the MNL efficiency measures are undefined. How do I resolve this?

Design
; alts = optionA* , optionB* , optionC* , optionD*
; rows = 16
; block = 4
; orth = seq
; model:
U( optionA ) = btraveltime[-0.2] * tt[1,2,15,26] +
bfare ...

I'm trying to create an efficient design for unlabeled alternatives but I'm getting an error that states that the design is constrained. How can I resolve this?

Design
; alts = optionA* , optionB* , optionC* , optionD*
; rows = 16
; block = 4
; eff = (mnl,s)
; con
; model:
U( optionA ) = ascA[0 ...

I've developed an orthogonal design for an unlabelled experiment, however the results show an S-estimate of zero. How do I resolve this?

Design
; alts = optionA* , optionB* , optionC* , optionD*
; rows = 16
; block = 4
; orth = seq
; model:
U( optionA ) = btraveltime * tt[1,2,15,26] +
bfare ...