Sufficient statistic equivalenceShow a statistic is not sufficientSufficient statistic.Show that $T$ is not a...
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Sufficient statistic equivalence
Show a statistic is not sufficientSufficient statistic.Show that $T$ is not a sufficient statisticHow do i know what's the sufficient statistic/estimator?What is a sufficient statistic of this distribution?Transformation of a sufficient statisticSufficient statistic with…Finding complete sufficient statisticMinimal sufficient statistic criterionThe natural sufficient statistic is minimal sufficient
$begingroup$
Let $theta'$, $theta in Theta$ such that $theta' neq theta$. I want to prove that $T$ is a sufficient statistic if and only if $$frac{f(x,theta')}{f(x,theta)}$$
is a function dependent only on $T(x)$.
I tried to use factorization theorem but for different parameters functions can be different and it leads nowhere.
statistics statistical-inference
$endgroup$
add a comment |
$begingroup$
Let $theta'$, $theta in Theta$ such that $theta' neq theta$. I want to prove that $T$ is a sufficient statistic if and only if $$frac{f(x,theta')}{f(x,theta)}$$
is a function dependent only on $T(x)$.
I tried to use factorization theorem but for different parameters functions can be different and it leads nowhere.
statistics statistical-inference
$endgroup$
add a comment |
$begingroup$
Let $theta'$, $theta in Theta$ such that $theta' neq theta$. I want to prove that $T$ is a sufficient statistic if and only if $$frac{f(x,theta')}{f(x,theta)}$$
is a function dependent only on $T(x)$.
I tried to use factorization theorem but for different parameters functions can be different and it leads nowhere.
statistics statistical-inference
$endgroup$
Let $theta'$, $theta in Theta$ such that $theta' neq theta$. I want to prove that $T$ is a sufficient statistic if and only if $$frac{f(x,theta')}{f(x,theta)}$$
is a function dependent only on $T(x)$.
I tried to use factorization theorem but for different parameters functions can be different and it leads nowhere.
statistics statistical-inference
statistics statistical-inference
asked Mar 12 at 23:06
treskovtreskov
147110
147110
add a comment |
add a comment |
1 Answer
1
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votes
$begingroup$
From the factorisation theorem we know that $T$ is sufficient if and only if:
$$f_theta(x) = h(x) g_theta(T(x)).$$
So we then have:
$$R_{theta', theta}(x) equiv frac{f_theta'(x)}{f_theta(x)} = frac{h(x) g_theta'(T(x))}{h(x) g_theta(T(x))} = frac{g_theta'(T(x))}{g_theta(T(x))},$$
which depends on $x$ only through $T(x)$.
$endgroup$
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
$begingroup$
From the factorisation theorem we know that $T$ is sufficient if and only if:
$$f_theta(x) = h(x) g_theta(T(x)).$$
So we then have:
$$R_{theta', theta}(x) equiv frac{f_theta'(x)}{f_theta(x)} = frac{h(x) g_theta'(T(x))}{h(x) g_theta(T(x))} = frac{g_theta'(T(x))}{g_theta(T(x))},$$
which depends on $x$ only through $T(x)$.
$endgroup$
add a comment |
$begingroup$
From the factorisation theorem we know that $T$ is sufficient if and only if:
$$f_theta(x) = h(x) g_theta(T(x)).$$
So we then have:
$$R_{theta', theta}(x) equiv frac{f_theta'(x)}{f_theta(x)} = frac{h(x) g_theta'(T(x))}{h(x) g_theta(T(x))} = frac{g_theta'(T(x))}{g_theta(T(x))},$$
which depends on $x$ only through $T(x)$.
$endgroup$
add a comment |
$begingroup$
From the factorisation theorem we know that $T$ is sufficient if and only if:
$$f_theta(x) = h(x) g_theta(T(x)).$$
So we then have:
$$R_{theta', theta}(x) equiv frac{f_theta'(x)}{f_theta(x)} = frac{h(x) g_theta'(T(x))}{h(x) g_theta(T(x))} = frac{g_theta'(T(x))}{g_theta(T(x))},$$
which depends on $x$ only through $T(x)$.
$endgroup$
From the factorisation theorem we know that $T$ is sufficient if and only if:
$$f_theta(x) = h(x) g_theta(T(x)).$$
So we then have:
$$R_{theta', theta}(x) equiv frac{f_theta'(x)}{f_theta(x)} = frac{h(x) g_theta'(T(x))}{h(x) g_theta(T(x))} = frac{g_theta'(T(x))}{g_theta(T(x))},$$
which depends on $x$ only through $T(x)$.
answered Mar 13 at 9:16
BenBen
1,815215
1,815215
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