How do I calculated the expected value of the sum of the greatest (or least) k of n independent uniformly...












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This question stemmed from asking myself how to calculate the expected value of the greater or lower of two dice rolls (k=1, n=2) but have phrased it more broadly for the sake of answering a larger question. Simple iterative code gives accurate approximations but I'm sure there's a way to determine a discrete answer that I don't know.



I don't need an exact answer, even guidance on the realm of probability to research would be great. Thanks!










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    $begingroup$


    This question stemmed from asking myself how to calculate the expected value of the greater or lower of two dice rolls (k=1, n=2) but have phrased it more broadly for the sake of answering a larger question. Simple iterative code gives accurate approximations but I'm sure there's a way to determine a discrete answer that I don't know.



    I don't need an exact answer, even guidance on the realm of probability to research would be great. Thanks!










    share|cite|improve this question









    $endgroup$















      0












      0








      0





      $begingroup$


      This question stemmed from asking myself how to calculate the expected value of the greater or lower of two dice rolls (k=1, n=2) but have phrased it more broadly for the sake of answering a larger question. Simple iterative code gives accurate approximations but I'm sure there's a way to determine a discrete answer that I don't know.



      I don't need an exact answer, even guidance on the realm of probability to research would be great. Thanks!










      share|cite|improve this question









      $endgroup$




      This question stemmed from asking myself how to calculate the expected value of the greater or lower of two dice rolls (k=1, n=2) but have phrased it more broadly for the sake of answering a larger question. Simple iterative code gives accurate approximations but I'm sure there's a way to determine a discrete answer that I don't know.



      I don't need an exact answer, even guidance on the realm of probability to research would be great. Thanks!







      probability statistics






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      asked Nov 24 '18 at 11:15









      NaT3zNaT3z

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          $begingroup$

          Given independent real-valued random variables $X_1,dots,X_n$, you can compute the distribution of their maximum:
          $$
          P(max_{i=1,dots,n}X_i leq x) = Pleft(bigcap_{i=1}^n{{X_i leq x}}right) = prod_{i=1}^nP(X_i leq x)
          $$

          and then calculate the expected value.






          share|cite|improve this answer









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            1 Answer
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            active

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            1 Answer
            1






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            active

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            active

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            1












            $begingroup$

            Given independent real-valued random variables $X_1,dots,X_n$, you can compute the distribution of their maximum:
            $$
            P(max_{i=1,dots,n}X_i leq x) = Pleft(bigcap_{i=1}^n{{X_i leq x}}right) = prod_{i=1}^nP(X_i leq x)
            $$

            and then calculate the expected value.






            share|cite|improve this answer









            $endgroup$


















              1












              $begingroup$

              Given independent real-valued random variables $X_1,dots,X_n$, you can compute the distribution of their maximum:
              $$
              P(max_{i=1,dots,n}X_i leq x) = Pleft(bigcap_{i=1}^n{{X_i leq x}}right) = prod_{i=1}^nP(X_i leq x)
              $$

              and then calculate the expected value.






              share|cite|improve this answer









              $endgroup$
















                1












                1








                1





                $begingroup$

                Given independent real-valued random variables $X_1,dots,X_n$, you can compute the distribution of their maximum:
                $$
                P(max_{i=1,dots,n}X_i leq x) = Pleft(bigcap_{i=1}^n{{X_i leq x}}right) = prod_{i=1}^nP(X_i leq x)
                $$

                and then calculate the expected value.






                share|cite|improve this answer









                $endgroup$



                Given independent real-valued random variables $X_1,dots,X_n$, you can compute the distribution of their maximum:
                $$
                P(max_{i=1,dots,n}X_i leq x) = Pleft(bigcap_{i=1}^n{{X_i leq x}}right) = prod_{i=1}^nP(X_i leq x)
                $$

                and then calculate the expected value.







                share|cite|improve this answer












                share|cite|improve this answer



                share|cite|improve this answer










                answered Nov 24 '18 at 12:54









                Tki DenebTki Deneb

                29210




                29210






























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