Let $X$ and $Y$ be i.i.d. $operatorname{Geom}(p)$, and $N = X + Y$. Find the joint PMF of $X, Y, N$
$begingroup$
Let $X$ and $Y$ be i.i.d. $operatorname{Geom}(p)$, and $N = X + Y$. Find the joint PMF of $X, Y, N$.
I have generally difficulties with such problems, as I get easily confused. Below I detailed my (most probability incorrect) approach. Besides the correct approach, I also would like to have some more general advice on how to think about and tackle such problems.
The random variables $X$ and $Y$ have geometric distributions, so $P(X=x)=(1-p)^xp$ and $P(Y=y)=(1-p)^yp$. I also know that the sum of two i.i.d. geometric random variables has a negative binomial distribution, thus $P(N=n) = binom{n+r-1}{n} (1-p)^n p^r$, where $r$ is the number of success. In our case $r=2$, as we are dealing with the sum of two random variables. Hence, $P(N=n) = (n+1)(1-p)^n p^2$.
I'm asked to find $P(X=x, Y=y, N=n)$. I don't know how to write that down, so I condition on $N=n$ and write
begin{align}
P(X=x, Y=y, N=n) &= P(X=x, Y=y mid N=n)P(N=n) \
&= P(X=x, Y=y mid N=x+y)P(N=n),
end{align}
because I know that $n=x+y$. But conditional on $N=x+y$, $X=x$ and $Y=y$ are the same event. Thus,
begin{align}
P(X=x, Y=y, N=n) &= P(X=x mid N=x+y)P(N=n)
end{align}
I can assume that $X$ is the number of failures till the first of both successes, otherwise I could just consider $P(Y=y mid N=x+y)$. The probability that there are $X=x$ failures till the frist success, given that there are in total $N=x+y$ failures is the same is having the first success between the $x^{th}$ and $(x+1)^{th}$ failure. As both $X$ and $Y$ have the same probability of success, the probability of this to happen is $frac{1}{x+y+1}$. Hence,
begin{align}
P(X=x, Y=y, N=n) &= frac{1}{x+y+1} (n+1)(1-p)^n p^r \
&= (1-p)^n p^2.
end{align}
But this looks like nonsense.
probability solution-verification
$endgroup$
add a comment |
$begingroup$
Let $X$ and $Y$ be i.i.d. $operatorname{Geom}(p)$, and $N = X + Y$. Find the joint PMF of $X, Y, N$.
I have generally difficulties with such problems, as I get easily confused. Below I detailed my (most probability incorrect) approach. Besides the correct approach, I also would like to have some more general advice on how to think about and tackle such problems.
The random variables $X$ and $Y$ have geometric distributions, so $P(X=x)=(1-p)^xp$ and $P(Y=y)=(1-p)^yp$. I also know that the sum of two i.i.d. geometric random variables has a negative binomial distribution, thus $P(N=n) = binom{n+r-1}{n} (1-p)^n p^r$, where $r$ is the number of success. In our case $r=2$, as we are dealing with the sum of two random variables. Hence, $P(N=n) = (n+1)(1-p)^n p^2$.
I'm asked to find $P(X=x, Y=y, N=n)$. I don't know how to write that down, so I condition on $N=n$ and write
begin{align}
P(X=x, Y=y, N=n) &= P(X=x, Y=y mid N=n)P(N=n) \
&= P(X=x, Y=y mid N=x+y)P(N=n),
end{align}
because I know that $n=x+y$. But conditional on $N=x+y$, $X=x$ and $Y=y$ are the same event. Thus,
begin{align}
P(X=x, Y=y, N=n) &= P(X=x mid N=x+y)P(N=n)
end{align}
I can assume that $X$ is the number of failures till the first of both successes, otherwise I could just consider $P(Y=y mid N=x+y)$. The probability that there are $X=x$ failures till the frist success, given that there are in total $N=x+y$ failures is the same is having the first success between the $x^{th}$ and $(x+1)^{th}$ failure. As both $X$ and $Y$ have the same probability of success, the probability of this to happen is $frac{1}{x+y+1}$. Hence,
begin{align}
P(X=x, Y=y, N=n) &= frac{1}{x+y+1} (n+1)(1-p)^n p^r \
&= (1-p)^n p^2.
end{align}
But this looks like nonsense.
probability solution-verification
$endgroup$
add a comment |
$begingroup$
Let $X$ and $Y$ be i.i.d. $operatorname{Geom}(p)$, and $N = X + Y$. Find the joint PMF of $X, Y, N$.
I have generally difficulties with such problems, as I get easily confused. Below I detailed my (most probability incorrect) approach. Besides the correct approach, I also would like to have some more general advice on how to think about and tackle such problems.
The random variables $X$ and $Y$ have geometric distributions, so $P(X=x)=(1-p)^xp$ and $P(Y=y)=(1-p)^yp$. I also know that the sum of two i.i.d. geometric random variables has a negative binomial distribution, thus $P(N=n) = binom{n+r-1}{n} (1-p)^n p^r$, where $r$ is the number of success. In our case $r=2$, as we are dealing with the sum of two random variables. Hence, $P(N=n) = (n+1)(1-p)^n p^2$.
I'm asked to find $P(X=x, Y=y, N=n)$. I don't know how to write that down, so I condition on $N=n$ and write
begin{align}
P(X=x, Y=y, N=n) &= P(X=x, Y=y mid N=n)P(N=n) \
&= P(X=x, Y=y mid N=x+y)P(N=n),
end{align}
because I know that $n=x+y$. But conditional on $N=x+y$, $X=x$ and $Y=y$ are the same event. Thus,
begin{align}
P(X=x, Y=y, N=n) &= P(X=x mid N=x+y)P(N=n)
end{align}
I can assume that $X$ is the number of failures till the first of both successes, otherwise I could just consider $P(Y=y mid N=x+y)$. The probability that there are $X=x$ failures till the frist success, given that there are in total $N=x+y$ failures is the same is having the first success between the $x^{th}$ and $(x+1)^{th}$ failure. As both $X$ and $Y$ have the same probability of success, the probability of this to happen is $frac{1}{x+y+1}$. Hence,
begin{align}
P(X=x, Y=y, N=n) &= frac{1}{x+y+1} (n+1)(1-p)^n p^r \
&= (1-p)^n p^2.
end{align}
But this looks like nonsense.
probability solution-verification
$endgroup$
Let $X$ and $Y$ be i.i.d. $operatorname{Geom}(p)$, and $N = X + Y$. Find the joint PMF of $X, Y, N$.
I have generally difficulties with such problems, as I get easily confused. Below I detailed my (most probability incorrect) approach. Besides the correct approach, I also would like to have some more general advice on how to think about and tackle such problems.
The random variables $X$ and $Y$ have geometric distributions, so $P(X=x)=(1-p)^xp$ and $P(Y=y)=(1-p)^yp$. I also know that the sum of two i.i.d. geometric random variables has a negative binomial distribution, thus $P(N=n) = binom{n+r-1}{n} (1-p)^n p^r$, where $r$ is the number of success. In our case $r=2$, as we are dealing with the sum of two random variables. Hence, $P(N=n) = (n+1)(1-p)^n p^2$.
I'm asked to find $P(X=x, Y=y, N=n)$. I don't know how to write that down, so I condition on $N=n$ and write
begin{align}
P(X=x, Y=y, N=n) &= P(X=x, Y=y mid N=n)P(N=n) \
&= P(X=x, Y=y mid N=x+y)P(N=n),
end{align}
because I know that $n=x+y$. But conditional on $N=x+y$, $X=x$ and $Y=y$ are the same event. Thus,
begin{align}
P(X=x, Y=y, N=n) &= P(X=x mid N=x+y)P(N=n)
end{align}
I can assume that $X$ is the number of failures till the first of both successes, otherwise I could just consider $P(Y=y mid N=x+y)$. The probability that there are $X=x$ failures till the frist success, given that there are in total $N=x+y$ failures is the same is having the first success between the $x^{th}$ and $(x+1)^{th}$ failure. As both $X$ and $Y$ have the same probability of success, the probability of this to happen is $frac{1}{x+y+1}$. Hence,
begin{align}
P(X=x, Y=y, N=n) &= frac{1}{x+y+1} (n+1)(1-p)^n p^r \
&= (1-p)^n p^2.
end{align}
But this looks like nonsense.
probability solution-verification
probability solution-verification
edited Dec 30 '14 at 15:03
NoBackingDown
asked Dec 30 '14 at 14:55
NoBackingDownNoBackingDown
8021233
8021233
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$begingroup$
Hint::
$$P(X=x,Y=y,N=n) = begin{cases}P(X = x, Y = y) & text{if }x+y=n \ 0 & text{otherwise}end{cases}$$
$endgroup$
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$begingroup$
Hint::
$$P(X=x,Y=y,N=n) = begin{cases}P(X = x, Y = y) & text{if }x+y=n \ 0 & text{otherwise}end{cases}$$
$endgroup$
add a comment |
$begingroup$
Hint::
$$P(X=x,Y=y,N=n) = begin{cases}P(X = x, Y = y) & text{if }x+y=n \ 0 & text{otherwise}end{cases}$$
$endgroup$
add a comment |
$begingroup$
Hint::
$$P(X=x,Y=y,N=n) = begin{cases}P(X = x, Y = y) & text{if }x+y=n \ 0 & text{otherwise}end{cases}$$
$endgroup$
Hint::
$$P(X=x,Y=y,N=n) = begin{cases}P(X = x, Y = y) & text{if }x+y=n \ 0 & text{otherwise}end{cases}$$
answered Dec 30 '14 at 15:07
ronnoronno
4,9051740
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