Page 1 Next

## Displaying 1 – 20 of 1157

Showing per page

### 0n the Domain Of Attraction of Stable and of Extreme Value Distributions

Δελτίο της Ελληνικής Μαθηματικής Εταιρίας

### 1-Lipschitz aggregation operators and quasi-copulas

Kybernetika

In the paper, binary 1-Lipschitz aggregation operators and specially quasi-copulas are studied. The characterization of 1-Lipschitz aggregation operators as solutions to a functional equation similar to the Frank functional equation is recalled, and moreover, the importance of quasi-copulas and dual quasi-copulas for describing the structure of 1-Lipschitz aggregation operators with neutral element or annihilator is shown. Also a characterization of quasi-copulas as solutions to a certain functional...

### A Berry-Esseen theorem on semisimple Lie groups

Annales de l'I.H.P. Probabilités et statistiques

Metrika

### A bound on the moment generating function of a sum of dependent variables with an application to simple random sampling without replacement

Annales de l'I.H.P. Probabilités et statistiques

### A chain of inequalities for some types of multivariate distributions, with nine special cases

Aplikace matematiky

### A Characteristic Property for Maxima of Random Variables with Trivial Analogue When Sums are Concerned

Publications de l'Institut Mathématique

### A characterization of convolution and related operations.

Aequationes mathematicae

### A characterization of Gaussian law in Hilbert space.

Aequationes mathematicae

### A characterization of Gaussian measures

Studia Mathematica

### A characterization of probability measures by f-moments

Studia Mathematica

Given a real-valued continuous function ƒ on the half-line [0,∞) we denote by P*(ƒ) the set of all probability measures μ on [0,∞) with finite ƒ-moments ${ʃ}_{0}^{\infty }ƒ\left(x\right){\mu }^{*n}\left(dx\right)$ (n = 1,2...). A function ƒ is said to have the identification propertyif probability measures from P*(ƒ) are uniquely determined by their ƒ-moments. A function ƒ is said to be a Bernstein function if it is infinitely differentiable on the open half-line (0,∞) and ${\left(-1\right)}^{n}{ƒ}^{\left(n+1\right)}\left(x\right)$ is completely monotone for some nonnegative integer n. The purpose of this paper...

### A Characterization of the Expontential Distribution

Δελτίο της Ελληνικής Μαθηματικής Εταιρίας

### A characterization of the gamma distribution in terms of conditional moment

Applications of Mathematics

A characteriyation of the Gamma distribution in terms of the $k$-th conditional moment presented in this paper extends the result of Shunji Osaki and Xin-xiang Li (1988).

### A characterization of the set of fixed points of the quicksort transformation.

Electronic Communications in Probability [electronic only]

### A Characterization of Uniform Distribution

Bulletin of the Polish Academy of Sciences. Mathematics

Is the Lebesgue measure on [0,1]² a unique product measure on [0,1]² which is transformed again into a product measure on [0,1]² by the mapping ψ(x,y) = (x,(x+y)mod 1))? Here a somewhat stronger version of this problem in a probabilistic framework is answered. It is shown that for independent and identically distributed random variables X and Y constancy of the conditional expectations of X+Y-I(X+Y > 1) and its square given X identifies uniform distribution either absolutely continuous or discrete....

Metrika

### A class of Compound Poisson Distribution and its Stochastic Dervations

Δελτίο της Ελληνικής Μαθηματικής Εταιρίας

### A composite Exponential-Pareto distribution.

Analele Ştiinţifice ale Universităţii “Ovidius" Constanţa. Seria: Matematică

### A compound of the generalized negative binomial distribution with the generalized beta distribution

Open Mathematics

This paper presents a compound of the generalized negative binomial distribution with the generalized beta distribution. In the introductory part of the paper, we provide a chronological overview of recent developments in the compounding of distributions, including the Polish results. Then, in addition to presenting the probability function of the compound generalized negative binomial-generalized beta distribution, we present special cases as well as factorial and crude moments of some compound...

### A connection between Gaussian processes and Markov processes.

Electronic Journal of Probability [electronic only]

Page 1 Next