Newbetuts

For a non-negative absolutely continuous random variable $X$, with distribution $F$. Why is $\lim_{t\rightarrow \infty}t(1-F(t))=0$?

Asymptotics of inverse of normal CDF

$E|X-m|$ is minimised at $m$=median

Convergence in distribution (weak convergence) of sum of real-valued random variables

How can I show that $X$ and $Y$ are independent and find the distribution of $Y$?

Find $E(|X-Y|^a)$ where $X$ and $Y$ are independent uniform on $(0,1)$

Expected Value of Maximum of Two Lognormal Random Variables

Let (X,Y) have a Dirichlet Distribution with paramters $(\alpha_1, \alpha_2, \alpha_3)$ Establish that X~Beta$(\alpha_1, \alpha_2 + \alpha_3)$ [closed]

IID Random Variables that are not constant can't converge almost surely

Convolution of 2 uniform random variables

Does finite variance imply on a finite mean?

Generalizing Poisson's binomial distribution to the multinomial case.

A reference for a Gaussian inequality ($\mathbb{E} \max_i X_i$)

Intuitive explanation of Poisson distribution

Distribution of a random real with i.i.d. Bernoulli(p) binary digits?

Name/significance of integral of the square of a probability density function

Algebra on random variables

New posts in probability-distributions

Distribution of the Ratio of i.i.d Uniform Random Variables Conditional on the Sum

Finding distribution function of $Y/X$ and probability density function of $X+Y$

Is there a way to apply Bayes rules to this question?

For a non-negative absolutely continuous random variable $X$, with distribution $F$. Why is $\lim_{t\rightarrow \infty}t(1-F(t))=0$?

Asymptotics of inverse of normal CDF

$E|X-m|$ is minimised at $m$=median

Convergence in distribution (weak convergence) of sum of real-valued random variables

How can I show that $X$ and $Y$ are independent and find the distribution of $Y$?

Find $E(|X-Y|^a)$ where $X$ and $Y$ are independent uniform on $(0,1)$

Expected Value of Maximum of Two Lognormal Random Variables

Let (X,Y) have a Dirichlet Distribution with paramters $(\alpha_1, \alpha_2, \alpha_3)$ Establish that X~Beta$(\alpha_1, \alpha_2 + \alpha_3)$ [closed]

IID Random Variables that are not constant can't converge almost surely

Convolution of 2 uniform random variables

Does finite variance imply on a finite mean?

Generalizing Poisson's binomial distribution to the multinomial case.

A reference for a Gaussian inequality ($\mathbb{E} \max_i X_i$)

Intuitive explanation of Poisson distribution

Distribution of a random real with i.i.d. Bernoulli(p) binary digits?

Name/significance of integral of the square of a probability density function

Algebra on random variables