Detail publikace

Estimate of Discrete Probability Distribution by Means of Pearson Quasi-norm

KARPÍŠEK, Z. JURÁK, P.

Anglický název

Estimate of Discrete Probability Distribution by Means of Pearson Quasi-norm

Typ

Stať ve sborníku v databázi WoS či Scopus

Jazyk

en

Originální abstrakt

The paper is concerned with the solution to the statistical problem of finding discrete probability distributions by means of the Pearson test goodness of fit subject to conditions given by estimates of their general moments from observed relative frequencies. A Pearson quasi-norm is defined whose minimization is used for the estimates of these distributions and their basic properties are described. An example is used to illustrate the results.

Klíčová slova anglicky

Pearson test, distribution fitting, moment constraints, Pearson quasi-norm, chi-square distribution

Vydáno

2005-06-15

Nakladatel

Brno University of Technology

Místo

Brno, Czech Republic

ISBN

80-214-2961-5

Kniha

11th International Conference on Soft Computing

Strany od–do

202–206

Počet stran

5

BIBTEX


@inproceedings{BUT20821,
  author="Zdeněk {Karpíšek} and Petr {Jurák}",
  title="Estimate of Discrete Probability Distribution by Means of Pearson Quasi-norm",
  booktitle="11th International Conference on Soft Computing",
  year="2005",
  pages="202--206",
  publisher="Brno University of Technology",
  address="Brno, Czech Republic",
  isbn="80-214-2961-5"
}