Genetische Algorithmen - Darstellung, Eigenschaften und eine Anwendung in der Statistik
Stefan Niermann and
Max D. Jöhnk
Hannover Economic Papers (HEP) from Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät
Abstract:
In this paper the genetic algorithm is described, applications in the field of statistics are indicated and it is applied to the estimation of the parameters of a Johnson-type distribution. The convergence behaviour is analyzed with respect to the mutation probability, the kind of mutations and the fitness criterion chosen. Finally the algorithm and its behaviour is visualized with S-plus.
Keywords: Genetische Algorithmen; Johnson-Verteilung (search for similar items in EconPapers)
Pages: 25 pages
Date: 2001-02
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
http://diskussionspapiere.wiwi.uni-hannover.de/pdf_bib/dp-238.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:han:dpaper:dp-238
Access Statistics for this paper
More papers in Hannover Economic Papers (HEP) from Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät Contact information at EDIRC.
Bibliographic data for series maintained by Heidrich, Christian ().