When I read Ross's book "Statistic Process" , I find the lemma, but I cannot prove it. The lemma states that Let $Y_1, \cdots, Y_n$ be iid nonnegative random variables then $E[Y_1+\cdots + Y_k| Y_1+\cdots+Y_n = y] =\frac{ky}{n}$, $k=1, .., n$.

I tried to calculate the expectation directly, Let $S_k = Y_1+\cdots + Y_k, k=1, 2, ..., n$, then $E[S_k| S_n = y] = \int_{0}^{y} t P\{S_k= t | S_n = y\}dt = \int_{0}^{y}P\{S_k \in [t, t+\delta], S_{k-1}, .., S_{1} \in [0, t)\}t dt= \int_{0}^{y}n\frac{1}{y} P\{S_{k-1}, .., S_{1} \in [0, t)\} dt= \int_{0}^{y}\frac{n}{y}C_{n-1}^{k-1} (\frac{t}{y})^{k-1}(1-\frac{t}{y})^{n-k}dt$.

I can not calculdate this integration. So I want to look for some other explaination about the result or anyone who can help me calculate the expectation.


We can use the following: for each permutation $\sigma$ from $\{1,\dots,n\}$ to itself, $$\tag{*} \mathbb E\left[Y_1+\dots+Y_k\mid Y_1+\dots+Y_n\right]=\mathbb E\left[Y_{\sigma(1)}+\dots+Y_{\sigma(k)}\mid Y_1+\dots+Y_n\right], $$ which is due to the fact that the vectors $\left(Y_1+\dots+Y_k,Y_1+\dots+Y_n\right)$ and $\left(Y_{\sigma(1)}+\dots+Y_{\sigma(k)}, Y_1+\dots+Y_n\right)$ have the same distribution.

Then sum (*) over all the permutations and rearrange $\sum_{\sigma\in\mathcal S_n}\left(Y_{\sigma(1)}+\dots+Y_{\sigma(k)}\right)$.

  • $\begingroup$ Thanks for your answer. But I am still confused about the probability $P\{Y_{\sigma(1)} + \cdots + Y_{\sigma(k)}| \sum_{i=0}^{n}Y_i = y\}$. Could you explain more? Actually, I am not familar with order statistic. $\endgroup$ – Icy Oct 3 at 16:53
  • $\begingroup$ Is this the probability? $P\{ Y_{\sigma(1)} + \cdots + Y_{\sigma(k)}=t | \sum_{i=0}^{n} Y_i = y \} = (\frac{t}{y})^k(\frac{y-t}{y})^{n-k}$ $\endgroup$ – Icy Oct 3 at 16:57
  • $\begingroup$ Actually there are no order statistic here. It is just the conditional expectation of $Y_{\sigma(1)}+\dots+Y_{\sigma(k)} $ with respect the $\sigma$-algebra generated by $S_n$. $\endgroup$ – Davide Giraudo Oct 3 at 17:22
  • $\begingroup$ Thanks for your explaination. Could you give me any recommandation about this topic? $\endgroup$ – Icy Oct 3 at 18:00

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