Turn on suggestions

Auto-suggest helps you quickly narrow down your search results by suggesting possible matches as you type.

Showing results for

- JMP User Community
- :
- Discussions
- :
- AIC for self created nonlinear model

Topic Options

- Subscribe to RSS Feed
- Mark Topic as New
- Mark Topic as Read
- Float this Topic for Current User
- Bookmark
- Subscribe
- Printer Friendly Page

- Mark as New
- Bookmark
- Subscribe
- Mute
- Subscribe to RSS Feed
- Get Direct Link
- Email to a Friend
- Report Inappropriate Content

Dec 21, 2018 1:34 AM
(2271 views)

Hi,

How can I get AIC values for a self created nonlinear model (by column formula)?

I choose Analyse > Specialized modeling > Nonlinear , I put my formula column as X, the response column as Y, I get convergence. But how can I get AIC values to compare the model with a linear model? Or are there other ways to compare my formula model with a linear one?

Thanks in advance for your help!

1 ACCEPTED SOLUTION

Accepted Solutions

- Mark as New
- Bookmark
- Subscribe
- Mute
- Subscribe to RSS Feed
- Get Direct Link
- Email to a Friend
- Report Inappropriate Content

You can calculate the AICc for the continuous response using this formula:

Where n = sample size, p = number of model parameters, and SSE for the fitted model. The log() is the natural logarithm function.

Learn it once, use it forever!

2 REPLIES 2

- Mark as New
- Bookmark
- Subscribe
- Mute
- Subscribe to RSS Feed
- Get Direct Link
- Email to a Friend
- Report Inappropriate Content

You can calculate the AICc for the continuous response using this formula:

Where n = sample size, p = number of model parameters, and SSE for the fitted model. The log() is the natural logarithm function.

Learn it once, use it forever!

- Mark as New
- Bookmark
- Subscribe
- Mute
- Subscribe to RSS Feed
- Get Direct Link
- Email to a Friend
- Report Inappropriate Content

Re: AIC for self created nonlinear model

Thanks!