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In probability and statistics, a probability distribution assigns a probability to each measurable subset of the possible outcomes of a random experiment, survey, or procedure of statistical inference.

3 votes
0 answers
57 views

Reference request: History of the fact that the family of probability distributions of Cauch...

Two probability distributions on (Borel subsets of) $\mathbb R$ are of the same "type" if for any random variable $X$ having one of those distributions, the other distribution is that of $\mu + \sigma …
0 votes
0 answers
64 views

Probability distribution of total time for a job, given a workflow graph

$$ \begin{array}{cccccccccccc} & & \text{A} \\ & \swarrow & & \searrow \\ \text{B} & & & & \text{C} \\ & \searrow & & \swarrow \\ \downarrow & & \text{D} \\ & & & \searrow \\ \text{F} & & \rightarrow …
2 votes
1 answer
189 views

Reference request: Best book to cite on a property of the family of Cauchy distributions

Kai Lai Chung once began a section of a textbook on probability by writing "Everybody knows" that $$ e^x = \sum_{n\,=\,0}^\infty \frac{x^n}{n!}. $$ (with those quotation marks). Other mathematicians …
0 votes
1 answer
120 views

Central limit theorems involving nominal-valued random variables

Suppose $X$ is a random variable taking values in a finite set $\{a_1,\ldots, a_k \}$ and for $i=1,\ldots,k,$ $Y_i = \begin{cases} 1 & \text{if } X=a_i, \\ 0 & \text{otherwise.} \end{cases}$ \begin{a …
4 votes
1 answer
291 views

Why should we expect this odd behavior of negative binomial distributions?

In independent Bernoulli trials with probability $p$ of success on each trial, let $X$ be the number of failures before the $n$th success. Then $$ \Pr(X=x) = \binom{-n}{\phantom{+}x} (-q)^x p^n \text{ …
5 votes
1 answer
202 views

Uniqueness of the variance

The variance assigns a number to each of certain probability distributions on Borel subsets of $\mathbb R$. It has the properties of (1) shift-invariance, i.e. if $X$ is a random variable with a proba …
1 vote
2 answers
185 views

Realizing a negative-binomially distributed random variable simultaneously in two different ...

My actual question appears at the bottom of this posting. Suppose $$ \Pr(\Lambda\in d\ell) = \frac 1{\Gamma(\alpha)} \left( \frac\ell m\right)^{\alpha-1} e^{-\ell/m}\, \left( \frac{d\ell} m \right) \t …
1 vote
2 answers
512 views

Why should the logarithmic series distribution model the number of "Items" bought?

Suppose you're a shopkeeper in the business of selling Items. An "Item" is a thing whose only property is that the quantity that can be bought by a purchaser must be a positive integer; all Items are …
0 votes
1 answer
591 views

Was this proposition on cumulants of compound Poisson distributions known before I put it in...

The $n$th cumulant $\kappa_n$ of a probability distribution for $n\ge2$ is functional that is a polynomial in the first $n$ moments of the distribution, that has the properties of $(1)$ homogeneity, $ …
3 votes
1 answer
758 views

Symmetry in the triangular distribution

A continuous function vanishes on $(-\infty,a]$ and on $[c,\infty),$ its graph is a straight line on the interval $[a,b]$ and another straight line on $[b,c],$ and its integral is $1.$ The mean of th …
10 votes
2 answers
486 views

Generalizations of the Robbins lemma and Gaussian integration by parts

This is getting no attention, so I'll try this here: The Robbins lemma, named after Herbert Robbins, says that if $X\sim\operatorname{Poisson}(\lambda)$ and $g$ is a function for which $\operatornam …
1 vote
2 answers
891 views

Concrete examples concerning standard deviations and mean absolute deviations

Once again stackexchange is not responding to one of my questions (so far no comments, no answers, two up-votes). Hence this "crossposting": Is there a simple (or not simple?) algorithm that will ch …
18 votes
1 answer
1k views

Riemann's $\zeta$ function and the uniform distribution on $[-1,0]$

https://math.stackexchange.com/questions/64566/riemanns-zeta-function-and-the-uniform-distribution-on-1-0 Stackexchange isn't getting really excited about this, so here it is. The $n$th cumulant of …
2 votes
3 answers
2k views

exchangeable normal r.v.s

Usually "exchangeable normal random variables" means jointly normal random variables $X_1,\ldots,X_n$ (i.e. so distributed that every linear combination of them is normally distributed) that are excha …
2 votes
1 answer
583 views

What are the origin and applications of this result?

In a course taught by Morris Eaton on multivariate statistics that dealt mostly with the Wishart distribution, I learned this proposition: Suppose $$ M = \begin{bmatrix} A & B \\\\ B^T & C \end{bmatr …