Re: Find a consistent estimator?
- From: hrubin@xxxxxxxxxxxxxxxxxxxx (Herman Rubin)
- Date: 28 Oct 2005 10:24:44 -0500
In article <4360ff0e@xxxxxxxxxxxxxx>, David Jones <dajxxx@xxxxxxxxx> wrote:
>tom wrote:
>> you mean finding the expected value of f(x/A) and then set
>> sample mean=population mean?
> You would need the expected value of X as a function of A, then set
>sample mean=population mean.
>> isn't the MLE just the derivative of log((1+Ax)/2)^n set to equal 0?
>> now i haven't calculated that yet, but why isn't it a possible
>> estimator?
>It is possible estimator, but there may be no simple explicit solution
>to the equation. You might need to have a simple explicit expression
>for the MLE to demonstrate consistency. MLE's are not always
>consistent, but you would need to find an esoteric distribution for
>the MLE not to be consistent.
It is not hard to find highly non-esoteric distributions
for which the MLE does not even exist, but the local MLE
is not only consistent, but a good estimator. A mixture
of two normals, with both mean and variance of one of them
unknown, is enough, as is the three-parameter lognormal.
--
This address is for information only. I do not claim that these views
are those of the Statistics Department or of Purdue University.
Herman Rubin, Department of Statistics, Purdue University
hrubin@xxxxxxxxxxxxxxx Phone: (765)494-6054 FAX: (765)494-0558
.
- References:
- Re: Find a consistent estimator?
- From: David Jones
- Re: Find a consistent estimator?
- From: tom
- Re: Find a consistent estimator?
- From: David Jones
- Re: Find a consistent estimator?
- Prev by Date: Re: Formulas for Quadratic Discriminant Analysis
- Next by Date: Re: Regression significance conundrum
- Previous by thread: Re: Find a consistent estimator?
- Next by thread: Data Balancing in Data Mining
- Index(es):
Relevant Pages
|
|