Skip to main content
Kent Academic Repository

A simulation study of the use of principal components in linear discriminant analysis

Jolliffe, Ian T., Morgan, Byron J. T., Young, Philip J. (1996) A simulation study of the use of principal components in linear discriminant analysis. Journal of Statistical Computation and Simulation, 55 (4). pp. 353-366. ISSN 0094-9655. (doi:10.1080/00949659608811775) (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:19269)

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:
https://dx.doi.org/10.1080/00949659608811775

Abstract

The use of principal components in linear discriminant analysis has been considered by several authors. However, many of the properties of procedures associated with this usage are unknown. Here, using a simulation study, we investigate the power to choose the 'correct' components in the discriminant function. We also include the null case where no component has any discriminatory value.

Item Type: Article
DOI/Identification number: 10.1080/00949659608811775
Uncontrolled keywords: Linear discriminant analysis, principal components, variable selection
Subjects: H Social Sciences > HA 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 16:08 UTC
Last Modified: 16 Nov 2021 09:57 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/19269 (The current URI for this page, for reference purposes)

University of Kent Author Information

Morgan, Byron J. T..

Creator's ORCID:
CReDIT Contributor Roles:
  • Depositors only (login required):

Total unique views for this document in KAR since July 2020. For more details click on the image.