A stepwise discrete variable selection procedure
Communication in Statistics- Theory and MethodsPublished 1 January 1977
Matthew Goldstein, William R. Dillon
Citations8
SJR quartileQ3
SJR score0.46
SNIP1.02
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Abstract
A stepwise variable selection procedure for multinomial discrimination is presented and discussed. Based upon the work of Kullback and Hills, stopping rules are proposed and illustrated for a set of data on communication buyer behavior.
Keywords
Computer ScienceBusiness, Management and AccountingEngineering
Journal of the Royal Statistical Society Series C (Applied Statistics)Discrimination and Allocation with Discrete Data
95 Citations1967Michael Hills
It is suggested that the use of error rates as a measure of discrimination is unsatisfactory in this situation and an alternative measure is proposed.
BiometricsOn a Stepwise Procedure for Two Population Bayes Decision Rules Using Discrete Variables
9 Citations1973John M. Lachin
A measure of the potential effectiveness of a t dimensional sample space is developed, a linear function of which is asymptotically distributed as chi-square, and a stepwise procedure for item selection is presented to derive more stable estimates of the likelihoods through a reduction of the dimensionality of the sample space.
Journal of the American Statistical AssociationSelection of Variates for the Two-Group Multinomial Classification Problem
8 Citations1975Matthew Goldstein, Manus Rabinowitz