Nonparametric mixture analysis of rock crab of the genus Leptograpsus

Reza Pakyari

Journal of Applied Statistics, 2011, vol. 38, issue 3, 581-589

Abstract: A nonparametric mixture analysis has been applied to study morphological characteristics of Leptograpsus crab. Two Gaussian models were also considered, one with the assumption of independent components and one with arbitrary relationship between the components. The three models then fitted to several combination of variables based on selecting different morphological characteristics. It has been observed that the nonparametric method gave the best result overall.

Date: 2011
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/02664760903521468 (text/html)
Access to full text is restricted to subscribers.

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:taf:japsta:v:38:y:2011:i:3:p:581-589

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/CJAS20

DOI: 10.1080/02664760903521468

Access Statistics for this article

Journal of Applied Statistics is currently edited by Robert Aykroyd

More articles in Journal of Applied Statistics from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().