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













0












$begingroup$


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!










share|cite|improve this question









New contributor




Ausitn N is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.







$endgroup$
















    0












    $begingroup$


    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!










    share|cite|improve this question









    New contributor




    Ausitn N is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
    Check out our Code of Conduct.







    $endgroup$














      0












      0








      0


      1



      $begingroup$


      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!










      share|cite|improve this question









      New contributor




      Ausitn N is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.







      $endgroup$




      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






      share|cite|improve this question









      New contributor




      Ausitn N is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.











      share|cite|improve this question









      New contributor




      Ausitn N is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.









      share|cite|improve this question




      share|cite|improve this question








      edited Mar 13 at 22:11









      Lee David Chung Lin

      4,39341242




      4,39341242






      New contributor




      Ausitn N is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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      asked Mar 13 at 19:15









      Ausitn NAusitn N

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