How to find pdf of X+Y given X and Y are dependent.
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The joint pdf is f(x,y) = $$frac{2}{5}(2x+3y)$$ for $0leq x leq 1,0leq y leq 1$
Normally if the random variables are independent, you can apply the convolution definition Z = X + Y which looks like $g(y) = int_{infty}^{infty}f_1(y-z)f_2(z)dz$. So I believe you can remove the dependence of one random variable on another. But I don't really know how to proceed at that point. For reference the answer is $g(y) = {z}^2$ for $0leq z leq 1$ and $z(2-z)$ $1leq z leq 2$
integration probability-theory probability-distributions random-variables
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add a comment |
$begingroup$
The joint pdf is f(x,y) = $$frac{2}{5}(2x+3y)$$ for $0leq x leq 1,0leq y leq 1$
Normally if the random variables are independent, you can apply the convolution definition Z = X + Y which looks like $g(y) = int_{infty}^{infty}f_1(y-z)f_2(z)dz$. So I believe you can remove the dependence of one random variable on another. But I don't really know how to proceed at that point. For reference the answer is $g(y) = {z}^2$ for $0leq z leq 1$ and $z(2-z)$ $1leq z leq 2$
integration probability-theory probability-distributions random-variables
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1
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For dependent, $g(y)=int_{-infty}^infty f(y-z,z)dz$.
$endgroup$
– NCh
Dec 11 '18 at 2:41
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But plugging that into the joint pdf for $0leq zleq1$ does not give ${z}^2$. What am I missing?
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– Sir lethian
Dec 11 '18 at 9:11
$begingroup$
Please show the calculations.
$endgroup$
– NCh
Dec 11 '18 at 15:28
add a comment |
$begingroup$
The joint pdf is f(x,y) = $$frac{2}{5}(2x+3y)$$ for $0leq x leq 1,0leq y leq 1$
Normally if the random variables are independent, you can apply the convolution definition Z = X + Y which looks like $g(y) = int_{infty}^{infty}f_1(y-z)f_2(z)dz$. So I believe you can remove the dependence of one random variable on another. But I don't really know how to proceed at that point. For reference the answer is $g(y) = {z}^2$ for $0leq z leq 1$ and $z(2-z)$ $1leq z leq 2$
integration probability-theory probability-distributions random-variables
$endgroup$
The joint pdf is f(x,y) = $$frac{2}{5}(2x+3y)$$ for $0leq x leq 1,0leq y leq 1$
Normally if the random variables are independent, you can apply the convolution definition Z = X + Y which looks like $g(y) = int_{infty}^{infty}f_1(y-z)f_2(z)dz$. So I believe you can remove the dependence of one random variable on another. But I don't really know how to proceed at that point. For reference the answer is $g(y) = {z}^2$ for $0leq z leq 1$ and $z(2-z)$ $1leq z leq 2$
integration probability-theory probability-distributions random-variables
integration probability-theory probability-distributions random-variables
edited Dec 11 '18 at 1:18
Sir lethian
asked Dec 11 '18 at 1:07
Sir lethianSir lethian
163
163
1
$begingroup$
For dependent, $g(y)=int_{-infty}^infty f(y-z,z)dz$.
$endgroup$
– NCh
Dec 11 '18 at 2:41
$begingroup$
But plugging that into the joint pdf for $0leq zleq1$ does not give ${z}^2$. What am I missing?
$endgroup$
– Sir lethian
Dec 11 '18 at 9:11
$begingroup$
Please show the calculations.
$endgroup$
– NCh
Dec 11 '18 at 15:28
add a comment |
1
$begingroup$
For dependent, $g(y)=int_{-infty}^infty f(y-z,z)dz$.
$endgroup$
– NCh
Dec 11 '18 at 2:41
$begingroup$
But plugging that into the joint pdf for $0leq zleq1$ does not give ${z}^2$. What am I missing?
$endgroup$
– Sir lethian
Dec 11 '18 at 9:11
$begingroup$
Please show the calculations.
$endgroup$
– NCh
Dec 11 '18 at 15:28
1
1
$begingroup$
For dependent, $g(y)=int_{-infty}^infty f(y-z,z)dz$.
$endgroup$
– NCh
Dec 11 '18 at 2:41
$begingroup$
For dependent, $g(y)=int_{-infty}^infty f(y-z,z)dz$.
$endgroup$
– NCh
Dec 11 '18 at 2:41
$begingroup$
But plugging that into the joint pdf for $0leq zleq1$ does not give ${z}^2$. What am I missing?
$endgroup$
– Sir lethian
Dec 11 '18 at 9:11
$begingroup$
But plugging that into the joint pdf for $0leq zleq1$ does not give ${z}^2$. What am I missing?
$endgroup$
– Sir lethian
Dec 11 '18 at 9:11
$begingroup$
Please show the calculations.
$endgroup$
– NCh
Dec 11 '18 at 15:28
$begingroup$
Please show the calculations.
$endgroup$
– NCh
Dec 11 '18 at 15:28
add a comment |
1 Answer
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$begingroup$
For dependent $X$ and $Y$ the convolution formula for the density of $Z:=X+Y$ is
$$
g(z):=int_{-infty}^infty f(z-x,x),dx.tag1
$$
In this case the integrand in (1) evaluates to $f(z-x,x)=frac25left(2(z-x)+3(x)right)$, which simplifies to $frac25(2z+x)$, provided
$$
0le z-xle1qquadrm{and}qquad 0le xle 1tag2
$$
and equals zero otherwise. So to evaluate (1), which is an integral over $x$, you need to determine, for each fixed value of $z$, the range of $x$ values where the conditions in (2) are satisfied. Draw a picture to see the limits of integration:
From the picture it is clear that you need to argue by cases:
If $0le zle1$, the limits run from $x=0$ to $x=z$ and therefore $g(z)=int_{x=0}^zfrac25(2z+x),dx$.
If $1le zle 2$, the limits run from $x=z-1$ to $x=1$ and therefore $g(z)=int_{x=z-1}^1frac25(2z+x),dx$.
For $z$ outside these two ranges the integrand is zero so $g(z)=0$.
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add a comment |
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1 Answer
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oldest
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$begingroup$
For dependent $X$ and $Y$ the convolution formula for the density of $Z:=X+Y$ is
$$
g(z):=int_{-infty}^infty f(z-x,x),dx.tag1
$$
In this case the integrand in (1) evaluates to $f(z-x,x)=frac25left(2(z-x)+3(x)right)$, which simplifies to $frac25(2z+x)$, provided
$$
0le z-xle1qquadrm{and}qquad 0le xle 1tag2
$$
and equals zero otherwise. So to evaluate (1), which is an integral over $x$, you need to determine, for each fixed value of $z$, the range of $x$ values where the conditions in (2) are satisfied. Draw a picture to see the limits of integration:
From the picture it is clear that you need to argue by cases:
If $0le zle1$, the limits run from $x=0$ to $x=z$ and therefore $g(z)=int_{x=0}^zfrac25(2z+x),dx$.
If $1le zle 2$, the limits run from $x=z-1$ to $x=1$ and therefore $g(z)=int_{x=z-1}^1frac25(2z+x),dx$.
For $z$ outside these two ranges the integrand is zero so $g(z)=0$.
$endgroup$
add a comment |
$begingroup$
For dependent $X$ and $Y$ the convolution formula for the density of $Z:=X+Y$ is
$$
g(z):=int_{-infty}^infty f(z-x,x),dx.tag1
$$
In this case the integrand in (1) evaluates to $f(z-x,x)=frac25left(2(z-x)+3(x)right)$, which simplifies to $frac25(2z+x)$, provided
$$
0le z-xle1qquadrm{and}qquad 0le xle 1tag2
$$
and equals zero otherwise. So to evaluate (1), which is an integral over $x$, you need to determine, for each fixed value of $z$, the range of $x$ values where the conditions in (2) are satisfied. Draw a picture to see the limits of integration:
From the picture it is clear that you need to argue by cases:
If $0le zle1$, the limits run from $x=0$ to $x=z$ and therefore $g(z)=int_{x=0}^zfrac25(2z+x),dx$.
If $1le zle 2$, the limits run from $x=z-1$ to $x=1$ and therefore $g(z)=int_{x=z-1}^1frac25(2z+x),dx$.
For $z$ outside these two ranges the integrand is zero so $g(z)=0$.
$endgroup$
add a comment |
$begingroup$
For dependent $X$ and $Y$ the convolution formula for the density of $Z:=X+Y$ is
$$
g(z):=int_{-infty}^infty f(z-x,x),dx.tag1
$$
In this case the integrand in (1) evaluates to $f(z-x,x)=frac25left(2(z-x)+3(x)right)$, which simplifies to $frac25(2z+x)$, provided
$$
0le z-xle1qquadrm{and}qquad 0le xle 1tag2
$$
and equals zero otherwise. So to evaluate (1), which is an integral over $x$, you need to determine, for each fixed value of $z$, the range of $x$ values where the conditions in (2) are satisfied. Draw a picture to see the limits of integration:
From the picture it is clear that you need to argue by cases:
If $0le zle1$, the limits run from $x=0$ to $x=z$ and therefore $g(z)=int_{x=0}^zfrac25(2z+x),dx$.
If $1le zle 2$, the limits run from $x=z-1$ to $x=1$ and therefore $g(z)=int_{x=z-1}^1frac25(2z+x),dx$.
For $z$ outside these two ranges the integrand is zero so $g(z)=0$.
$endgroup$
For dependent $X$ and $Y$ the convolution formula for the density of $Z:=X+Y$ is
$$
g(z):=int_{-infty}^infty f(z-x,x),dx.tag1
$$
In this case the integrand in (1) evaluates to $f(z-x,x)=frac25left(2(z-x)+3(x)right)$, which simplifies to $frac25(2z+x)$, provided
$$
0le z-xle1qquadrm{and}qquad 0le xle 1tag2
$$
and equals zero otherwise. So to evaluate (1), which is an integral over $x$, you need to determine, for each fixed value of $z$, the range of $x$ values where the conditions in (2) are satisfied. Draw a picture to see the limits of integration:
From the picture it is clear that you need to argue by cases:
If $0le zle1$, the limits run from $x=0$ to $x=z$ and therefore $g(z)=int_{x=0}^zfrac25(2z+x),dx$.
If $1le zle 2$, the limits run from $x=z-1$ to $x=1$ and therefore $g(z)=int_{x=z-1}^1frac25(2z+x),dx$.
For $z$ outside these two ranges the integrand is zero so $g(z)=0$.
answered Dec 12 '18 at 2:22
grand_chatgrand_chat
20.3k11326
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1
$begingroup$
For dependent, $g(y)=int_{-infty}^infty f(y-z,z)dz$.
$endgroup$
– NCh
Dec 11 '18 at 2:41
$begingroup$
But plugging that into the joint pdf for $0leq zleq1$ does not give ${z}^2$. What am I missing?
$endgroup$
– Sir lethian
Dec 11 '18 at 9:11
$begingroup$
Please show the calculations.
$endgroup$
– NCh
Dec 11 '18 at 15:28