List questions from cumulative-distribution-functions

Published on 10 Jun 2020 - 18:44

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Is the indicator function of the set ${x+y\geq0}$ a distribution function of some random vector?

Published on 11 Jun 2020 - 12:41

1k

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Expected value of $k$-th minimum among $n$ random variables uniformly distributed in $[0, 1]$.

Published on 14 Jun 2020 - 18:21

59

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Finding distribution function when pdf is $f(x) = |x|$ for $ -1 < x < 1$

Published on 14 Jun 2020 - 21:50

34

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Solving standard normal CDF for variable

Published on 16 Jun 2020 - 13:10

1.1k

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Derived distribution of a function of two random variables

Published on 17 Jun 2020 - 3:20

301

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Prove that every random variable has a cumulative distribution function

Published on 18 Jun 2020 - 12:49

321

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Marginal Distributions of given CDF

Published on 25 Mar 2026 - 10:52

117

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Distribution function of $Y = \max\{X \sim \text{Exp}(2), 3\}$

Published on 24 Jun 2020 - 13:44

21

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Help on Basics of Univariate and Bivariate Density and Distribution Functions

Published on 25 Mar 2026 - 10:55

131

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Why is the expectation of the random variable "W" equal to the limited integral of the survival function of the random variable "Y"?

Published on 26 Jun 2020 - 23:43

71

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Derivation of density of $X^2$ based on distribution of $X$

Published on 27 Jun 2020 - 10:24

38

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CDF of $V_i=\max{(aY_{i-1},Y_i)}, \forall i=2,...,n ; V_1=Y_1$

Published on 29 Jun 2020 - 12:58

203

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What base does the author take when taking the log of both sides?

Published on 01 Jul 2020 - 6:15

76

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Copula Theory : CDF from Marginals

Published on 23 Feb 2026 - 11:01

List Question

CDF of sum of random variables in terms of CDF of

Is the indicator function of the set ${x+y\geq0}$ a distribution function of some random vector?

Expected value of $k$-th minimum among $n$ random variables uniformly distributed in $[0, 1]$.

Finding distribution function when pdf is $f(x) = |x|$ for $ -1 < x < 1$

Solving standard normal CDF for variable

Derived distribution of a function of two random variables

Prove that every random variable has a cumulative distribution function

Marginal Distributions of given CDF

Distribution function of $Y = \max\{X \sim \text{Exp}(2), 3\}$

Help on Basics of Univariate and Bivariate Density and Distribution Functions

Why is the expectation of the random variable "W" equal to the limited integral of the survival function of the random variable "Y"?

Derivation of density of $X^2$ based on distribution of $X$

CDF of $V_i=\max{(aY_{i-1},Y_i)}, \forall i=2,...,n ; V_1=Y_1$

What base does the author take when taking the log of both sides?

Copula Theory : CDF from Marginals

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