Re: different MLE gives different answers????
- From: Richard Ulrich <Rich.Ulrich@xxxxxxxxxxx>
- Date: Wed, 23 Apr 2008 20:04:50 -0400
On Wed, 23 Apr 2008 09:35:30 -0700 (PDT), maria.hartberg@xxxxxxxxx
wrote:
1. What is the difference between goodness of fit and maximum
likelihood?
Maximum likelihood is one of the methods that is
used to measure fit, and to compare fits. Sometimes
that is called a "goodness of fit" test. When the comparison
is made to null-hypotheses such as "coefficient equals zero",
the result not usually called a goodness-of-fit test.
2. If I have understood it correctly in logistic regression one can
use different maximum likelihood equations in order to find the best
fit.
Huh? Logistic regression has one standard form.
Different MLE equations .... Would you mean,
for different variables? for different ways of adjusting
for zero-cells, if you are following a discrete solution?
The latter is more common in log-linear modeling, which
is a cousin of logistic regression.
So my questions is wouldn?t the answer differ depending on what
maximum likelihood equation one uses?
I think you are under some mis-impression about the
existence of "different maximum likelihood equations"
or their nature. Would you want to be more specific,
or have I said enough?
--
Rich Ulrich
http://www.pitt.edu/~wpilib/index.html
.
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