Please use this identifier to cite or link to this item: https://doi.org/10.1006/jmva.1997.1676
Title: Linear discrimination with adaptive ridge classification rules
Authors: Loh, W.-L. 
Keywords: Adaptive ridge classification rule; asymptotic error rate expansion; linear discrimination; multivariate normal distribution
Issue Date: Aug-1997
Citation: Loh, W.-L. (1997-08). Linear discrimination with adaptive ridge classification rules. Journal of Multivariate Analysis 62 (2) : 169-180. ScholarBank@NUS Repository. https://doi.org/10.1006/jmva.1997.1676
Abstract: This article considers the use of adaptive ridge classification rules for classifying an observation as coming from one of two multivariate normal distributionsN(μ(1), Σ) andN(μ(2), Σ). In particular, the asymptotic expected error rates for a general class of these rules are obtained and are compared with that of the usual linear discriminant rule. © 1997 Academic Press.
Source Title: Journal of Multivariate Analysis
URI: http://scholarbank.nus.edu.sg/handle/10635/103494
ISSN: 0047259X
DOI: 10.1006/jmva.1997.1676
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

4
checked on Sep 11, 2018

WEB OF SCIENCETM
Citations

4
checked on Sep 11, 2018

Page view(s)

29
checked on May 4, 2018

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.