REML = variously, restricted or residual ML. the kicker is that, under
REML, a function of the outcomes are estimated, such that the function
contains none of the fixed effects present/suspected in the original
outcomes. brian
****************************************************************
Brian Gray
USGS Upper Midwest Environmental Sciences Center
575 Lester Avenue, Onalaska, WI 54650
ph 608-783-7550 ext 19, FAX 608-783-8058
[EMAIL PROTECTED]
*****************************************************************
"Ruben Roa"
<[EMAIL PROTECTED]> To: "Brian R Gray"
<[EMAIL PROTECTED]>
Sent by: cc: [EMAIL PROTECTED]
[EMAIL PROTECTED] Subject: Re: AI-GEOSTATS: Akaike's
information criterion (AIC)
12/18/2002 12:45
PM
Please respond to
rroa
>suspect Ruben would note that, under a normal assumption, OLS and ML
coincide.
True, though i'd say that OLS is a particular case of MLE iff the process
being modelled is additive and the additive stochastic component is normal.
>also, I suspect that Ruben's comments also apply to REML
>results--altho in that case you may need to restrict inference to random
components. brian
There are so many acronyms that i got lost with REML. Is it Random Effects
etc...?
Rub�n
http://webmail.udec.cl
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