A Review of Classification Models Using Discrete Variables
Author Affiliations
- 1Department of Statistics, Nnamdi Azikiwe University, Awka NIGERIA
- 2Department of Statistics, Nnamdi Azikiwe University, Awka NIGERIA
- 3Department of Statistics, Imo State University, Owerri, NIGERIA
- 4Department of Statistics, Federal University of Technology Owerri NIGERIA
Res. J. Mathematical & Statistical Sci., Volume 1, Issue (8), Pages 28-38, September,12 (2013)
Abstract
This paper is a review of the classification models used for discrete variables. Nine classification procedures for binary variables are discussed and some of them evaluated at each of 118 configurations of the sampling experiments. The results obtained ranked the procedures as follows: Optimal, first order Bahadur, LDF, Second Order, Full, Distance, Nrule.
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