Expected value of a minimum and maximum of a collection of independent random variablesConverting Expected value to integrals and differentiatingJoint PDF of random variablesIndependence proofMaximum of Three Uniform Random VariablesProbability density function of $max(X,Y)$Convolution: Give a proof that $f_T(t)=int_-infty^inftyf_X(x)f_Y(t-x)dx$ where $f_T(t)$ is the PDF of random variable TMinimum of maximum of independent variablesManipulating double integrals to find expected value of product of independent random variablesCalculate expected value of random variable $Z=minleftX,Yright$Calculate expected value of function of random variables
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Expected value of a minimum and maximum of a collection of independent random variables
Converting Expected value to integrals and differentiatingJoint PDF of random variablesIndependence proofMaximum of Three Uniform Random VariablesProbability density function of $max(X,Y)$Convolution: Give a proof that $f_T(t)=int_-infty^inftyf_X(x)f_Y(t-x)dx$ where $f_T(t)$ is the PDF of random variable TMinimum of maximum of independent variablesManipulating double integrals to find expected value of product of independent random variablesCalculate expected value of random variable $Z=minleftX,Yright$Calculate expected value of function of random variables
$begingroup$
Suppose I have two independent random variables $X$ and $Y$ with probability density functions $f_X(x)$, where $0 leq x lt a~$, and $f_Y(y)$ with $0 leq y lt b$.
Let $T = minX, Y$ and $W = maxX, Y$. I'm trying to understand how to calculate $E(T)$ and $E(W)$.
So far I've used the formulas that my textbook provides:
beginalign
F_t(T) = Pr(T leq t) &= 1 - Pr(T gt t) \
&= 1 - Pr( minX, Y gt t) \
&= 1 - ( 1 - F_X(t) )(1-F_Y(t))endalign
Likewise
$$F_W(w) = Pr(W leq w) = Pr(maxX, Y leq w) = F_X(w)F_Y(w)$$
Now to calculate the expected values of each variable, $T$ and $W$, my intention was to use the expected value formulas:
beginalign
E(T) &= int 1-F_T(t)dt & &textand & E(W) &= int 1-F_W(w)dw
endalign
What I seem to be stuck on is determining the domain of both $T$ and $W$.
I've been studying for Exam P and the practice problem solutions don't seem to clarify much. Any help would be much appreciated!
probability expected-value order-statistics
New contributor
$endgroup$
add a comment |
$begingroup$
Suppose I have two independent random variables $X$ and $Y$ with probability density functions $f_X(x)$, where $0 leq x lt a~$, and $f_Y(y)$ with $0 leq y lt b$.
Let $T = minX, Y$ and $W = maxX, Y$. I'm trying to understand how to calculate $E(T)$ and $E(W)$.
So far I've used the formulas that my textbook provides:
beginalign
F_t(T) = Pr(T leq t) &= 1 - Pr(T gt t) \
&= 1 - Pr( minX, Y gt t) \
&= 1 - ( 1 - F_X(t) )(1-F_Y(t))endalign
Likewise
$$F_W(w) = Pr(W leq w) = Pr(maxX, Y leq w) = F_X(w)F_Y(w)$$
Now to calculate the expected values of each variable, $T$ and $W$, my intention was to use the expected value formulas:
beginalign
E(T) &= int 1-F_T(t)dt & &textand & E(W) &= int 1-F_W(w)dw
endalign
What I seem to be stuck on is determining the domain of both $T$ and $W$.
I've been studying for Exam P and the practice problem solutions don't seem to clarify much. Any help would be much appreciated!
probability expected-value order-statistics
New contributor
$endgroup$
add a comment |
$begingroup$
Suppose I have two independent random variables $X$ and $Y$ with probability density functions $f_X(x)$, where $0 leq x lt a~$, and $f_Y(y)$ with $0 leq y lt b$.
Let $T = minX, Y$ and $W = maxX, Y$. I'm trying to understand how to calculate $E(T)$ and $E(W)$.
So far I've used the formulas that my textbook provides:
beginalign
F_t(T) = Pr(T leq t) &= 1 - Pr(T gt t) \
&= 1 - Pr( minX, Y gt t) \
&= 1 - ( 1 - F_X(t) )(1-F_Y(t))endalign
Likewise
$$F_W(w) = Pr(W leq w) = Pr(maxX, Y leq w) = F_X(w)F_Y(w)$$
Now to calculate the expected values of each variable, $T$ and $W$, my intention was to use the expected value formulas:
beginalign
E(T) &= int 1-F_T(t)dt & &textand & E(W) &= int 1-F_W(w)dw
endalign
What I seem to be stuck on is determining the domain of both $T$ and $W$.
I've been studying for Exam P and the practice problem solutions don't seem to clarify much. Any help would be much appreciated!
probability expected-value order-statistics
New contributor
$endgroup$
Suppose I have two independent random variables $X$ and $Y$ with probability density functions $f_X(x)$, where $0 leq x lt a~$, and $f_Y(y)$ with $0 leq y lt b$.
Let $T = minX, Y$ and $W = maxX, Y$. I'm trying to understand how to calculate $E(T)$ and $E(W)$.
So far I've used the formulas that my textbook provides:
beginalign
F_t(T) = Pr(T leq t) &= 1 - Pr(T gt t) \
&= 1 - Pr( minX, Y gt t) \
&= 1 - ( 1 - F_X(t) )(1-F_Y(t))endalign
Likewise
$$F_W(w) = Pr(W leq w) = Pr(maxX, Y leq w) = F_X(w)F_Y(w)$$
Now to calculate the expected values of each variable, $T$ and $W$, my intention was to use the expected value formulas:
beginalign
E(T) &= int 1-F_T(t)dt & &textand & E(W) &= int 1-F_W(w)dw
endalign
What I seem to be stuck on is determining the domain of both $T$ and $W$.
I've been studying for Exam P and the practice problem solutions don't seem to clarify much. Any help would be much appreciated!
probability expected-value order-statistics
probability expected-value order-statistics
New contributor
New contributor
edited Mar 13 at 22:11
Lee David Chung Lin
4,39341242
4,39341242
New contributor
asked Mar 13 at 19:15
Ausitn NAusitn N
1
1
New contributor
New contributor
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add a comment |
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