User Community
cancel
Turn on suggestions
Auto-suggest helps you quickly narrow down your search results by suggesting possible matches as you type.
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!
  • Learn some foundational elements of JMP Scripting Language (JSL) and how to extend point & click automation into repeatable, shareable routines. Register. June 26, 2 p.m. US Eastern Time.

JMP Knowledge Base

Choose Language Hide Translation Bar
Why are the parameter estimates I see in JMP® different from the GLM procedure in SAS®?
Created: Nov 30, 2022 04:35 PM  |  Last Modified: Dec 20, 2022 1:21 PM

Differences between SAS® and JMP® are due to different parameterizations and algorithms used to calculate the statistics. The JMP algorithm is computationally more efficient, but PROC GLM is more general. Both are correct, just different. To answer any comparison questions, refer to the Nominal Factors section in the JMP Fitting Linear Models documentation and help.

 

[Previously JMP Note 37920]

0 Kudos
Details
Operating System
macOS Windows
Products JMP JMP Pro

Recommended Articles