In article [EMAIL PROTECTED],
Mark W. Humphries [EMAIL PROTECTED] wrote:
Hi,
Does anyone have references to a simple/intuitive introduction to Maximum
Log Likelihood methods.
References to algorithms would also be appreciated.
Cheers,
Mark W. Humphries
Any decent text on mathematical
on
maximum likelihood tutorial
(put the phrase in quotes to keep it together;
or you can use Advanced search)
There were MANY hits, and the second reference
was in a tutorial that begins at
http://statgen.iop.kcl.ac.uk/bgim/mle/sslike_2.html
The third reference was for some programs
Hi,
Does anyone have references to a simple/intuitive introduction to Maximum
Log Likelihood methods.
References to algorithms would also be appreciated.
Cheers,
Mark W. Humphries
=
Instructions for joining and leaving this
the other variables and does not include the residuals.
That's as close to lay terms as I can get.
I have never heard a simple explanation of maximum likelihood estimation,
but -- MLE compares the observed covariance matrix with a covariance
matrix predicted by probability theory and uses
