Re: Sufficient Statistics
- From: Jack Tomsky <jtomsky@xxxxxxxxxxxxx>
- Date: Wed, 02 Jan 2008 12:25:16 EST
Dear all,
I was just reading some theoretical statistics
cs notes and found a
sentence which puzzles me:
"
the entire data is always sufficient, so we need
minimal sufficiency.
"
Do anyone know the explanation of the first part
please?
thanks very much!
If f(x, theta) is the density of the sample, where x is the sample and theta is the parameter, then T=T(x) is sufficient for theta if f(x, theta) can be factored as
f(x, theta) = g(T(x), theta)*h(x).
Set T(x)=x, g=f, and h(x)=1.
Thus T(x) = x, the entire sample is sufficient for theta.
Jack
Setting T(x) = x
.
- References:
- Sufficient Statistics
- From: Yue
- Sufficient Statistics
- Prev by Date: Re: Sufficient Statistics
- Next by Date: Re: Sufficient Statistics
- Previous by thread: Re: Sufficient Statistics
- Next by thread: Re: Sufficient Statistics
- Index(es):
Loading