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Conditional joint distribution of exponential sums is the same as the distribution of uniform order statistic


Relations between Order Statistics of Uniform RVs and Exponential RVsCan conditional distributions determine the joint distribution?Complete statistic for the parameter of shift in shifted exponential distributionpdf of conditional order statisticFind the joint distribution of the continuous order statistics?Variance of First Order Statistic of Exponential DistributionShow independence of four random variables as combination of four other independent variablesjoint conditional pdf of given sum of exponential distributionConditional Distribution of Statistic from Poisson Distribution is BinomialSufficient statistic for a Uniform distribution uniform($itheta$)













0












$begingroup$


I'm having a hard time proving the following proposition:



Let $X_1,X_2,dots,X_n$ be i.i.d exponentially distributed random variables with parameter $lambda$. Then the joint distribution of $X_1, X_1+X_2, X_1+X_2+X_3,dots,X_1+dots+X_n-1$ given the condition $X_1+dots+X_n=t$ is equal to the joint distribution of the order statistic $(Y_1,dots,Y_n-1)$ from the uniform distribution on $[0,t]$.



So $f(x_1,dots,x_1+dots+x_n-1 |x_1+dots+x_n=t)=dfracf(x_1,dots,x_1+dots+x_n)f(x_1+dots+x_n)$. And I think now I'm supposed to use the memorylessness property of the exponential distribution but I don't see how.



Edit: I tried to transform the variables and use the Jacobi determinant but I'm still stuck:










share|cite|improve this question











$endgroup$
















    0












    $begingroup$


    I'm having a hard time proving the following proposition:



    Let $X_1,X_2,dots,X_n$ be i.i.d exponentially distributed random variables with parameter $lambda$. Then the joint distribution of $X_1, X_1+X_2, X_1+X_2+X_3,dots,X_1+dots+X_n-1$ given the condition $X_1+dots+X_n=t$ is equal to the joint distribution of the order statistic $(Y_1,dots,Y_n-1)$ from the uniform distribution on $[0,t]$.



    So $f(x_1,dots,x_1+dots+x_n-1 |x_1+dots+x_n=t)=dfracf(x_1,dots,x_1+dots+x_n)f(x_1+dots+x_n)$. And I think now I'm supposed to use the memorylessness property of the exponential distribution but I don't see how.



    Edit: I tried to transform the variables and use the Jacobi determinant but I'm still stuck:










    share|cite|improve this question











    $endgroup$














      0












      0








      0





      $begingroup$


      I'm having a hard time proving the following proposition:



      Let $X_1,X_2,dots,X_n$ be i.i.d exponentially distributed random variables with parameter $lambda$. Then the joint distribution of $X_1, X_1+X_2, X_1+X_2+X_3,dots,X_1+dots+X_n-1$ given the condition $X_1+dots+X_n=t$ is equal to the joint distribution of the order statistic $(Y_1,dots,Y_n-1)$ from the uniform distribution on $[0,t]$.



      So $f(x_1,dots,x_1+dots+x_n-1 |x_1+dots+x_n=t)=dfracf(x_1,dots,x_1+dots+x_n)f(x_1+dots+x_n)$. And I think now I'm supposed to use the memorylessness property of the exponential distribution but I don't see how.



      Edit: I tried to transform the variables and use the Jacobi determinant but I'm still stuck:










      share|cite|improve this question











      $endgroup$




      I'm having a hard time proving the following proposition:



      Let $X_1,X_2,dots,X_n$ be i.i.d exponentially distributed random variables with parameter $lambda$. Then the joint distribution of $X_1, X_1+X_2, X_1+X_2+X_3,dots,X_1+dots+X_n-1$ given the condition $X_1+dots+X_n=t$ is equal to the joint distribution of the order statistic $(Y_1,dots,Y_n-1)$ from the uniform distribution on $[0,t]$.



      So $f(x_1,dots,x_1+dots+x_n-1 |x_1+dots+x_n=t)=dfracf(x_1,dots,x_1+dots+x_n)f(x_1+dots+x_n)$. And I think now I'm supposed to use the memorylessness property of the exponential distribution but I don't see how.



      Edit: I tried to transform the variables and use the Jacobi determinant but I'm still stuck:







      probability statistics






      share|cite|improve this question















      share|cite|improve this question













      share|cite|improve this question




      share|cite|improve this question








      edited Mar 17 at 10:50







      liz

















      asked Mar 16 at 8:56









      lizliz

      1047




      1047




















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