Stepwise Location Model Choice in Mixed‐Variable Discrimination

W. J. Krzanowski

Journal of the Royal Statistical Society Series C, 1983, vol. 32, issue 3, 260-266

Abstract: One practical drawback to the use of discrimination methods based on the location model for mixtures of discrete and continuous variables is that the smoothing techniques employed, and the subsequent estimation of error rates, limit fairly severely the allowable number of discrete variables. A backward elimination method of discrete variable selection is outlined in this paper. This can be used to identify a suitable, reduced location model for discriminant applications when the number of discrete variables is too large for direct use. It can also be used more traditionally as a variable selection procedure in discriminant analysis. Some examples are given.

Date: 1983
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://doi.org/10.2307/2347948

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:bla:jorssc:v:32:y:1983:i:3:p:260-266

Ordering information: This journal article can be ordered from
http://ordering.onli ... 1111/(ISSN)1467-9876

Access Statistics for this article

Journal of the Royal Statistical Society Series C is currently edited by R. Chandler and P. W. F. Smith

More articles in Journal of the Royal Statistical Society Series C from Royal Statistical Society Contact information at EDIRC.
Bibliographic data for series maintained by Wiley Content Delivery ().