cancel
Showing results for 
Show  only  | Search instead for 
Did you mean: 
  • Learn how to build custom Python data connectors and further customize JMP’s Data Connector Framework with the Python Data Connector Demo, available now in the JMP Marketplace!
  • See how to create experiments to support product design and ID useful product features. Register for June 12 webinar, 2pm US Eastern Time.

Discussions

Solve problems, and share tips and tricks with other JMP users.
Choose Language Hide Translation Bar
Jogger560
Level I

Statistical methods/details for confidence interval for probit models with an interaction term

Hello, 

 

I fitted a probit model with an interaction term by using the Fit Model platform and specifying the 

Effects( A, B, A*B ), where :A is a continuous variable and B is a dichotomous variable. In the parameter estimates section I got the Lower CLs and Upper CIs for the intercept, A, B, A*B. terms, respectively. Could you provide some details about how the confidence intervals are calculated for them (intercept, A, B, and A*B )? 

 

Also, for a typical linear regression model (unrelated to my above scenario) fitted using the Fit Model platform, how are the confidence intervals in the parameter estimates section calculated. 

 

Thanks!

 

Best,

Li

0 REPLIES 0

Recommended Articles