TY  - JOUR
ID  - zu213248
UR  - http://eprints.zu.edu.ua/13248/
IS  - 17
A1  - Pogorui, A. A.
A1  - Kovalen?o, D. ?.
A1  - Rodríguez-Dagn?no, Ramón ?.
Y1  - 2009///
N2  - In this paper we introduce the notion of T-convolution, which is a generalization of
convolution to higher dimensions. By using T-convolution we construct n-dimensional distributions
having n+1 axes of symmetry. In addition, we can generalize well-known symmetric
probability distributions in one dimension to higher dimensions. In particular, we consider
generalizations of Laplace and triangle continuous distributions and we show their plots in the
two-dimensional case. As an example of discrete distributions, we study the T-convolution of
Poisson distributions in the plane.
PB  - ROSE
JF  - Stochastic Eqs
TI  - T-Convolution and its applications to n-dimensional distributions
SP  - 349
AV  - public
EP  - 363
ER  -