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!
probability statistics
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up vote
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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!
probability statistics
add a comment |
up vote
0
down vote
favorite
up vote
0
down vote
favorite
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
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
probability statistics
asked Nov 24 at 11:15
NaT3z
183
183
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1 Answer
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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.
add a comment |
1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
up vote
1
down vote
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.
add a comment |
up vote
1
down vote
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.
add a comment |
up vote
1
down vote
up vote
1
down vote
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.
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.
answered Nov 24 at 12:54
Tki Deneb
2529
2529
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