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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 …