T-Convolution and its applications to n-dimensional distributions
Zhytomyr State University Library
Переглянути архів Інформація| Поле | Співвідношення | |
| Relation |
http://eprints.zu.edu.ua/13248/
|
|
| Title |
T-Convolution and its applications to n-dimensional distributions
|
|
| Creator |
Pogoruі, А. А.
Kovalenкo, D. О. Rodríguez-Dagnіno, Ramón М. |
|
| Subject |
Mathematical Analysis
|
|
| Description |
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. |
|
| Publisher |
ROSE
|
|
| Date |
2009
|
|
| Type |
Article
PeerReviewed |
|
| Format |
text
|
|
| Language |
uk
english |
|
| Identifier |
http://eprints.zu.edu.ua/13248/1/rose.17.4.020.pdf
Pogoruі, А. А. and Kovalenкo, D. О. and Rodríguez-Dagnіno, Ramón М. (2009) T-Convolution and its applications to n-dimensional distributions. Stochastic Eqs (17). pp. 349-363. |
|