Question

Convergence of maximum of n independent random variables with quadratic CDF in a closed interval

score 21 · Answer 1 · 2026-03-15 12:29:59

21

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Convergence of maximum of n independent random variables with quadratic CDF in a closed interval

Published on 15 Mar 2026 - 12:29

score 65 · Answer 2 · 2026-03-16 11:10:08

65

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CDF of Convolution Z = X + Y Formula is $F_Z(z) = \int_{-\infty}^{\infty}F_X(z-\xi)\ \mathrm dF_Y(\xi)$

Published on 16 Mar 2026 - 11:10

score 79 · Answer 3 · 2026-03-16 11:37:09

79

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Is it true that ℙ{ F(X) ≤ u } ≤ u for all u in [0,1]?

Published on 16 Mar 2026 - 11:37

score 41 · Answer 4 · 2026-03-16 00:58:06

41

Views

Convergence of maximum of n independent random variables to a random variable that isn't degenerate

Published on 16 Mar 2026 - 0:58

score 47 · Answer 5 · 2026-03-16 03:52:45

47

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Reference for a good multidimensional portmanteau theorem

Published on 16 Mar 2026 - 3:52

score 66 · Answer 6 · 2026-03-16 14:08:23

66

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Finding $x$ and $y$ with the information that "On exactly half of the days,No more than one student was absent".

Published on 16 Mar 2026 - 14:08

score 50 · Answer 7 · 2026-03-16 01:35:13

50

Views

Determine all $(p,q)$ where Lorentz quasi-norm $\|\cdot\|_{L^{p,q}}$ is norm

Published on 16 Mar 2026 - 1:35

score 32 · Answer 8 · 2026-03-15 21:15:38

32

Views

CDF of $Y$ given the CDF of $X$ and $Y=X^2$

Published on 15 Mar 2026 - 21:15

score 45 · Answer 9 · 2026-03-16 01:00:36

45

Views

Expectation of a function of the CDF of a Normal variable

Published on 16 Mar 2026 - 1:00

score 47 · Answer 10 · 2026-03-16 13:37:53

47

Views

How does this integral based on the $\Phi$ function equal $x$?

Published on 16 Mar 2026 - 13:37

score 125 · Answer 11 · 2026-03-16 05:43:53

125

Views

The distribution of the minimum value among $mn$ non-independent random variables and Expected average distance in greedy matching on a circle

Published on 16 Mar 2026 - 5:43

score 15 · Answer 12 · 2026-03-16 03:34:05

15

Views

How to find CDF under presence of multiple random variables

Published on 16 Mar 2026 - 3:34

score 33 · Answer 13 · 2026-03-16 10:09:06

33

Views

$\mathbb E [f(X)] = \mathbb E [f(Y)]$ for all $f \in \mathcal C_b (\mathbb R) \implies \mathbb P (X = Y) = 1.$

Published on 16 Mar 2026 - 10:09

score 28 · Answer 14 · 2026-03-16 07:36:48

28

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Let $X$ be a random variable with cdf $F_X$. If $F_X$ is continuous, is $\text{im}(X)$ uncountable?

Published on 16 Mar 2026 - 7:36

score 52 · Answer 15 · 2026-03-16 11:46:09

52

Views

Probability of collision vs. Mean Free Path

Published on 16 Mar 2026 - 11:46

List Question

Convergence of maximum of n independent random variables with quadratic CDF in a closed interval

CDF of Convolution Z = X + Y Formula is $F_Z(z) = \int_{-\infty}^{\infty}F_X(z-\xi)\ \mathrm dF_Y(\xi)$

Is it true that ℙ{ F(X) ≤ u } ≤ u for all u in [0,1]?

Convergence of maximum of n independent random variables to a random variable that isn't degenerate

Reference for a good multidimensional portmanteau theorem

Finding $x$ and $y$ with the information that "On exactly half of the days,No more than one student was absent".

Determine all $(p,q)$ where Lorentz quasi-norm $\|\cdot\|_{L^{p,q}}$ is norm

CDF of $Y$ given the CDF of $X$ and $Y=X^2$

Expectation of a function of the CDF of a Normal variable

How does this integral based on the $\Phi$ function equal $x$?

The distribution of the minimum value among $mn$ non-independent random variables and Expected average distance in greedy matching on a circle

How to find CDF under presence of multiple random variables

$\mathbb E [f(X)] = \mathbb E [f(Y)]$ for all $f \in \mathcal C_b (\mathbb R) \implies \mathbb P (X = Y) = 1.$

Let $X$ be a random variable with cdf $F_X$. If $F_X$ is continuous, is $\text{im}(X)$ uncountable?

Probability of collision vs. Mean Free Path

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