How to show that $sum_{i=1}^m (X_i−X_m)^2$ and $sum_{i=1}^n(Y_i− Y_n)^2$ are independent












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$begingroup$


Let $X_1,...,X_m$ be i.i.d. sample with $N(mu_1,sigma^2)$, and $Y_1,...,Y_n$ be i.i.d. sample with $N(mu_2,2sigma^2)$.



Let $S_x^2 = sum_{i=1}^m (X_i−X_m)^2$ and $S_y^2= sum_{i=1}^n(Y_i− Y_n)^2$.



(b) Determine the values of $alpha$ and $beta$ for which $alpha S_x^2 + beta S_y^2$ will be an unbiased estimator with minimum variance.



It is not so difficult to solve if $S_x^2 = sum_{i=1}^m (X_i−X_m)^2$ and $S_y^2= sum_{i=1}^n(Y_i− Y_n)^2$ are independent. However I don't know how to show that they are independent... any possible helps??










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  • $begingroup$
    Are ${X_1,dots,X_m,Y_1,dots,Y_n}$ independent? If they are, then it's trivial.
    $endgroup$
    – Federico
    Nov 27 '18 at 14:33










  • $begingroup$
    Xi are independent and Yi are independent. But nothing's known about the independence between Xi and Yi
    $endgroup$
    – Newt
    Nov 27 '18 at 14:37












  • $begingroup$
    I think its pretty obvious from the statement that $X_i, Y_j$ are assumed to be independent.
    $endgroup$
    – leonbloy
    Nov 27 '18 at 15:39


















0












$begingroup$


Let $X_1,...,X_m$ be i.i.d. sample with $N(mu_1,sigma^2)$, and $Y_1,...,Y_n$ be i.i.d. sample with $N(mu_2,2sigma^2)$.



Let $S_x^2 = sum_{i=1}^m (X_i−X_m)^2$ and $S_y^2= sum_{i=1}^n(Y_i− Y_n)^2$.



(b) Determine the values of $alpha$ and $beta$ for which $alpha S_x^2 + beta S_y^2$ will be an unbiased estimator with minimum variance.



It is not so difficult to solve if $S_x^2 = sum_{i=1}^m (X_i−X_m)^2$ and $S_y^2= sum_{i=1}^n(Y_i− Y_n)^2$ are independent. However I don't know how to show that they are independent... any possible helps??










share|cite|improve this question











$endgroup$












  • $begingroup$
    Are ${X_1,dots,X_m,Y_1,dots,Y_n}$ independent? If they are, then it's trivial.
    $endgroup$
    – Federico
    Nov 27 '18 at 14:33










  • $begingroup$
    Xi are independent and Yi are independent. But nothing's known about the independence between Xi and Yi
    $endgroup$
    – Newt
    Nov 27 '18 at 14:37












  • $begingroup$
    I think its pretty obvious from the statement that $X_i, Y_j$ are assumed to be independent.
    $endgroup$
    – leonbloy
    Nov 27 '18 at 15:39
















0












0








0





$begingroup$


Let $X_1,...,X_m$ be i.i.d. sample with $N(mu_1,sigma^2)$, and $Y_1,...,Y_n$ be i.i.d. sample with $N(mu_2,2sigma^2)$.



Let $S_x^2 = sum_{i=1}^m (X_i−X_m)^2$ and $S_y^2= sum_{i=1}^n(Y_i− Y_n)^2$.



(b) Determine the values of $alpha$ and $beta$ for which $alpha S_x^2 + beta S_y^2$ will be an unbiased estimator with minimum variance.



It is not so difficult to solve if $S_x^2 = sum_{i=1}^m (X_i−X_m)^2$ and $S_y^2= sum_{i=1}^n(Y_i− Y_n)^2$ are independent. However I don't know how to show that they are independent... any possible helps??










share|cite|improve this question











$endgroup$




Let $X_1,...,X_m$ be i.i.d. sample with $N(mu_1,sigma^2)$, and $Y_1,...,Y_n$ be i.i.d. sample with $N(mu_2,2sigma^2)$.



Let $S_x^2 = sum_{i=1}^m (X_i−X_m)^2$ and $S_y^2= sum_{i=1}^n(Y_i− Y_n)^2$.



(b) Determine the values of $alpha$ and $beta$ for which $alpha S_x^2 + beta S_y^2$ will be an unbiased estimator with minimum variance.



It is not so difficult to solve if $S_x^2 = sum_{i=1}^m (X_i−X_m)^2$ and $S_y^2= sum_{i=1}^n(Y_i− Y_n)^2$ are independent. However I don't know how to show that they are independent... any possible helps??







independence sampling






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share|cite|improve this question













share|cite|improve this question




share|cite|improve this question








edited Nov 27 '18 at 15:35









amWhy

1




1










asked Nov 27 '18 at 14:17









NewtNewt

207




207












  • $begingroup$
    Are ${X_1,dots,X_m,Y_1,dots,Y_n}$ independent? If they are, then it's trivial.
    $endgroup$
    – Federico
    Nov 27 '18 at 14:33










  • $begingroup$
    Xi are independent and Yi are independent. But nothing's known about the independence between Xi and Yi
    $endgroup$
    – Newt
    Nov 27 '18 at 14:37












  • $begingroup$
    I think its pretty obvious from the statement that $X_i, Y_j$ are assumed to be independent.
    $endgroup$
    – leonbloy
    Nov 27 '18 at 15:39




















  • $begingroup$
    Are ${X_1,dots,X_m,Y_1,dots,Y_n}$ independent? If they are, then it's trivial.
    $endgroup$
    – Federico
    Nov 27 '18 at 14:33










  • $begingroup$
    Xi are independent and Yi are independent. But nothing's known about the independence between Xi and Yi
    $endgroup$
    – Newt
    Nov 27 '18 at 14:37












  • $begingroup$
    I think its pretty obvious from the statement that $X_i, Y_j$ are assumed to be independent.
    $endgroup$
    – leonbloy
    Nov 27 '18 at 15:39


















$begingroup$
Are ${X_1,dots,X_m,Y_1,dots,Y_n}$ independent? If they are, then it's trivial.
$endgroup$
– Federico
Nov 27 '18 at 14:33




$begingroup$
Are ${X_1,dots,X_m,Y_1,dots,Y_n}$ independent? If they are, then it's trivial.
$endgroup$
– Federico
Nov 27 '18 at 14:33












$begingroup$
Xi are independent and Yi are independent. But nothing's known about the independence between Xi and Yi
$endgroup$
– Newt
Nov 27 '18 at 14:37






$begingroup$
Xi are independent and Yi are independent. But nothing's known about the independence between Xi and Yi
$endgroup$
– Newt
Nov 27 '18 at 14:37














$begingroup$
I think its pretty obvious from the statement that $X_i, Y_j$ are assumed to be independent.
$endgroup$
– leonbloy
Nov 27 '18 at 15:39






$begingroup$
I think its pretty obvious from the statement that $X_i, Y_j$ are assumed to be independent.
$endgroup$
– leonbloy
Nov 27 '18 at 15:39












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