Dear Listers,
In page 29 of Maximum Likelihood Estimation with Stata (Gould and
Sribney 1999), the likelihood function for the linear regression model is
written as:
lnL=SUM (ln (phi((y-x*beta)/sigma)) - ln(sigma))
where phi() is the standard normal PDF.
My Question is: How the last term, ln(sigma), comes to the likelihood
function?
Can you knidly give me some ideas?
thanks in advance
Chuntao
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