Detail publikace

Pearson Quasinorm for Probability Distribution Goodness of Fit

KARPÍŠEK, Z. SADOVSKÝ, Z. JURÁK, P.

Originální název

Pearson Quasinorm for Probability Distribution Goodness of Fit

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 probability distributions by means of the Pearson goodness-of-fit test subject to conditions given by estimates of their general moments from observed relative frequencies. A Pearson quasinorm is defined whose minimization is used for the estimates of these distributions and their basic properties are described. An example on PC is used to illustrate the results.

Klíčová slova

Pearson test, distribution fitting, moment constraints, Pearson quasinorm, chi-square distribution

Autoři

KARPÍŠEK, Z.; SADOVSKÝ, Z.; JURÁK, P.

Rok RIV

2006

Vydáno

6. 2. 2006

Nakladatel

STU Bratislava

Místo

Bratislava

ISBN

80-967305-7-6

Kniha

5th International Conference APLIMAT 2006. Bratislava 2006

Číslo edice

1

Strany od

545

Strany do

551

Strany počet

7

BibTex

@inproceedings{BUT20250,
  author="Zdeněk {Karpíšek} and Zdeněk {Sadovský} and Petr {Jurák}",
  title="Pearson Quasinorm for Probability Distribution Goodness of Fit",
  booktitle="5th International Conference APLIMAT 2006. Bratislava 2006",
  year="2006",
  number="1",
  pages="545--551",
  publisher="STU Bratislava",
  address="Bratislava",
  isbn="80-967305-7-6"
}