Re: MLE of a restricted RV
- From: Ray Koopman <koopman@xxxxxx>
- Date: Tue, 21 Aug 2007 23:44:57 -0700
On Aug 21, 5:23 pm, Outlier <MTBrenne...@xxxxxxxxx> wrote:
Hi,
I am curious if anyone can suggest a solution to this problem.
I want to find the MLE for an angle, a. The sine of the angle is
normally distributed s.t.
X ~ N( sin(a0), s^2)
Of course, I am interested in the distribution of phi. Making the
normal change of variables requires I restrict the pdf so |X|<1.
Letting:
FX(x|a0) = CDF for X given a0
then I can define the "mixed" pdf:
Case 1 : F(-1|a0) for X=-1
f (y) = Case 2 : Normal PDF for -1<X<1 (using transformation
of rv rule)
where pdf is scaled by F(1|a0)-F(-1|a0)
Case 3 : 1 - F(1|a0) for X=1
Case 4 : 0 |X| > 1
Cases 1 and 3 could be thought of as being equivalent to assigning MLE
= -pi/2 and pi/2 resp.
When you try to find the MLE for a value of X s.t. |X|<1, the problem
you run into is that the scale factor in the denominator of the pdf is
dependent on the parameter of interest a0. When I do calculations with
Mathematica, where I fix a value of X and evaluate the pdf for various
values of a0, the maximum is not typically at a value even remotely
near ArcSin(X).
Is there a way to remedy this problem or a better estimation method
that would work in such a situation?
TIA,
Matt
Look up the von Mises distribution.
.
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