Jeffers, J.N.R. (1996) Multivariate analysis of a reference collection of elm leaves. Journal of Applied Statistics, 23 (6). pp. 571-587. ISSN 0266-4763. (doi:10.1080/02664769623946) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:19261)
The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. | |
Official URL: http://dx.doi.org/10.1080/02664769623946 |
Abstract
Analysis of leaf measurements of a reference collection of elm leaves suggests that the leaves, collected from trees which were selected by R. H. Richens as spanning the range of elm in Europe, fall into two primary groups. The first of these groups is made up of the representatives of the Wych elm (Ulmus glabra), which is known to be a distinct species. The second, larger, group is made up of an assemblage of subgroups that represent English elm (Ulmus procera), Ulmus minor and hybrids between Ulmus minor and Ulmus glabra. A minimum variance cluster analysis suggests that these subgroups are reasonably distinct, and discriminant analysis, logistic regression and a genetic algorithm are used to help identify the subgroups.
Item Type: | Article |
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DOI/Identification number: | 10.1080/02664769623946 |
Subjects: | Q Science > QA Mathematics (inc Computing science) > QA276 Mathematical statistics |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Mathematics, Statistics and Actuarial Science |
Depositing User: | R.F. Xu |
Date Deposited: | 04 Jun 2009 16:10 UTC |
Last Modified: | 16 Nov 2021 09:57 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/19261 (The current URI for this page, for reference purposes) |
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