its feasible to have a look with 1 or 2 parameters, but in most cases
its hard to see in k-dimensional space. we'll give it a try in class
tomorrow tho!
Gary
---
http://gking.harvard.edu
On Sun, Feb 7, 2010 at 3:48 PM, Lin, Eric <elin at hbs.edu> wrote:
When we want to check two situations to see where the
std err?s are likely
going to be higher, I take it we can look to the shape of the peak on the
likelihood function. ?I know we?ll get into how to do the detailed calcs
this week, but as far as eyeballing the shape, can we make comparisons
between two situations (coparing a steep hill vs. a flatter hill?). ?To do
this, we need to have the y axis of likelihood on the same scale.
I remember that we cannot directly compare the likelihood number from one
dataset to another, but we can compare the shape to assess precision of
estimates, right (which requires the same y-axis scale)?
_______________________________________________
gov2001-l mailing list
gov2001-l at
lists.fas.harvard.edu
http://lists.fas.harvard.edu/mailman/listinfo/gov2001-l