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KARPÍŠEK, Z.; JURÁK, P.
Original Title
Estimate of Discrete Probability Distribution by Means of Pearson Quasi-norm
English Title
Type
Paper in proceedings (conference paper)
Original Abstract
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.
English abstract
Keywords
Pearson test, distribution fitting, moment constraints, Pearson quasi-norm, chi-square distribution
Key words in English
Authors
Released
15.06.2005
Publisher
Brno University of Technology
Location
Brno, Czech Republic
ISBN
80-214-2961-5
Book
11th International Conference on Soft Computing
Pages from
202
Pages to
206
Pages count
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" }