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KARPÍŠEK, Z.
Originální název
Statistical Properties of Discrete Probability Distributions with Maximum Entropy
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
The paper is concerned with the solution of and statistical problem of finding discrete probability distributions conforming to the requirement of maximum entropy under conditions given by estimates of their general moments from the observed relative frequencies. It is shown that the distributions derived are of an exponential type with maximum likelihood estimations of parameters that are also estimations by and modified chi-squared method. Basic properties of these estimations are described and the results are illustrated by examples.
Klíčová slova
maximum entropy, moment conditions, maximum likelihood estimate
Autoři
Rok RIV
2001
Vydáno
1. 1. 2001
Nakladatel
Masaryk University Brno
Místo
Masaryk University, Brno
ISBN
80-210-2544-1
Kniha
Folia Facultatis Scientiarium Naturalium Univesitatis Masarykinae Brunensis
Edice
Mathematica 9. Summer School DATASTAT 99. Proceedings
Číslo edice
1
Strany od
21
Strany do
32
Strany počet
12
BibTex
@inproceedings{BUT3837, author="Zdeněk {Karpíšek}", title="Statistical Properties of Discrete Probability Distributions with Maximum Entropy", booktitle="Folia Facultatis Scientiarium Naturalium Univesitatis Masarykinae Brunensis", year="2001", series="Mathematica 9. Summer School DATASTAT 99. Proceedings", number="1", pages="12", publisher="Masaryk University Brno", address="Masaryk University, Brno", isbn="80-210-2544-1" }