Detail publikace

Applications of the Two-Dimensional Hellinger and Shannon Quasi-norm

JURÁK, P. KARPÍŠEK, Z.

Originální název

Applications of the Two-Dimensional Hellinger and Shannon Quasi-norm

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

This paper is concerned with the solution to a statistical problem of finding the two-dimensional simultaneous discrete probability distribution of a discrete random vector by minimizing the Hellinger distance and Shannon pseudo-distance with given constraints. The constraints are chosen in a general form using suitable functions linear in unknown probabilities. An economic example is used to illustrate the theoretical results.

Klíčová slova

Hellinger quasi-norm, Shannon quasi-norm, probability estimations, distribution fitting

Autoři

JURÁK, P. KARPÍŠEK, Z.

Rok RIV

2004

Vydáno

1. 1. 2004

Místo

Kunovice

ISBN

80-7314-025-X

Kniha

Proceedings of ICSC 2004

Strany od

285

Strany do

290

Strany počet

6

BibTex

@inproceedings{BUT17329,
  author="Petr {Jurák} and Zdeněk {Karpíšek}",
  title="Applications of the Two-Dimensional Hellinger and Shannon Quasi-norm",
  booktitle="Proceedings of ICSC 2004",
  year="2004",
  pages="6",
  address="Kunovice",
  isbn="80-7314-025-X"
}