Please use this identifier to cite or link to this item:
|Title:||Linear discrimination with adaptive ridge classification rules|
|Keywords:||Adaptive ridge classification rule; asymptotic error rate expansion; linear discrimination; multivariate normal distribution|
|Source:||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|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Feb 28, 2018
WEB OF SCIENCETM
checked on Feb 19, 2018
checked on Mar 12, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.