Detail publikace

Estimate of Discrete Probability Distribution by Means of Hellinger Distance

KARPÍŠEK, Z. JURÁK, P.

Originální název

Estimate of Discrete Probability Distribution by Means of Hellinger Distance

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

The paper is concerned with the solution to the statistical problem of finding discrete distributions by means of the Hellinger distance subject to conditions given by estimates of their general moments from observed relative frequencies. A Hellinger quasinorm is defined whose minimization is used for the estimates of these distributions and its basic asymptotic properties are described. An example is used to illustrate the results.

Klíčová slova

Hellinger distance, distribution fitting, moment constraints, Hellinger quasinorm, chi-square distribution

Autoři

KARPÍŠEK, Z.; JURÁK, P.

Rok RIV

2002

Vydáno

1. 1. 2002

Nakladatel

Brno University of Technology, Faculty of Mechanical Engineering, Institute of Automation and Computer Science

Místo

Brno

ISBN

80-214-2135-5

Kniha

MENDEL 02. 8th International Conference on Soft Computing

Číslo edice

1

Strany od

301

Strany do

306

Strany počet

6

BibTex

@inproceedings{BUT7581,
  author="Zdeněk {Karpíšek} and Petr {Jurák}",
  title="Estimate of Discrete Probability Distribution by Means of Hellinger Distance",
  booktitle="MENDEL 02. 8th International Conference on Soft Computing",
  year="2002",
  number="1",
  pages="6",
  publisher="Brno University of Technology, Faculty of Mechanical Engineering, Institute of Automation and Computer Science",
  address="Brno",
  isbn="80-214-2135-5"
}