cancel
Showing results for 
Show  only  | Search instead for 
Did you mean: 
Check out the JMP® Marketplace featured Capability Explorer add-in
Choose Language Hide Translation Bar
PYS
PYS
Level II

reference for computation of bounded variance components in mixed effect model

Hello,

I was looking for a reference explaining how the variance components of a mixed effect model are computed with the "unbounded variance components" option unthicked.

 

Thanks!

 

PY

1 ACCEPTED SOLUTION

Accepted Solutions
MRB3855
Super User

Re: reference for computation of bounded variance components in mixed effect model

Hi @PYS   There doesn’t appear to be much detail in JMP help. However, as I understand it, it works like SAS proc mixed. REML is the method (bounded or unbounded). However, if bounded and the VC estimate via REML is less than zero, then it sets the VC to zero…and adjusts tests for the fixed effects accordingly. And that adjustment for the fixed effects may or may not be a good thing, but that is a separate issue.

Here is SAS proc mixed documentation.

https://documentation.sas.com/doc/en/pgmsascdc/9.4_3.4/statug/statug_mixed_details01.htm#statug.mixe...

 

View solution in original post

2 REPLIES 2
MRB3855
Super User

Re: reference for computation of bounded variance components in mixed effect model

Hi @PYS   There doesn’t appear to be much detail in JMP help. However, as I understand it, it works like SAS proc mixed. REML is the method (bounded or unbounded). However, if bounded and the VC estimate via REML is less than zero, then it sets the VC to zero…and adjusts tests for the fixed effects accordingly. And that adjustment for the fixed effects may or may not be a good thing, but that is a separate issue.

Here is SAS proc mixed documentation.

https://documentation.sas.com/doc/en/pgmsascdc/9.4_3.4/statug/statug_mixed_details01.htm#statug.mixe...

 

PYS
PYS
Level II

Re: reference for computation of bounded variance components in mixed effect model

Thank you for the information!

 

PY