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JURÁK, P. - KARPÍŠEK, Z.
Originální název
Hellinger Quasinorm and Shannon Quasinorm in N-dimensional Space
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
This paper is concerned with searching for the solution of a statistical problem of finding the N-dimensional simultaneous discrete probability distribution of a discrete random vector by minimizing Hellinger and Shannon quasinorms with given constraints. These constraints are chosen in a general form using functions suitable for the widest use possible but linear in unknown probabilities. The paper is an extension of the theoretical results arrived at in previous papers.
Klíčová slova
Hellinger quasinorm, Shannon quasinorm, discrete probability distribution, general linear constraints
Autoři
Rok RIV
2004
Vydáno
1. 1. 2004
Místo
Brno
ISBN
80-214-2676-4
Kniha
MENDEL ´04. 10th International Conference on Soft Computing
Strany od
210
Strany do
215
Strany počet
6
BibTex
@inproceedings{BUT17740, author="Petr {Jurák} and Zdeněk {Karpíšek}", title="Hellinger Quasinorm and Shannon Quasinorm in N-dimensional Space", booktitle="MENDEL ´04. 10th International Conference on Soft Computing", year="2004", pages="6", address="Brno", isbn="80-214-2676-4" }