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A stepwise discrete variable selection procedure
Authors:Matthew Goldstein  William R. Dillon
Affiliation:1. Baruch College , CUNY , New York, New York;2. School of Business Administration , University of Massachusetts , Amherst, Massachusetts
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:multinomial discrimination  stopping rule  Kullback divergence  communication buyer behavior
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[3]、T. Johnsson.A procedure for stepwise regression analysis[J].Statistical Papers,1992,33(1):21-29.
[4]、Ai Ni,Jianwen Cai.A regularized variable selection procedure in additive hazards model with stratified case-cohort design[J].Lifetime data analysis,2018,24(3):443-463.
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[8]、W. J. Krzanowski.A stopping rule for structure-preserving variable selection[J].Statistics and Computing,1996,6(1):51-56.
[9]、Lexin Li,R. Dennis Cook, Christopher J. Nachtsheim.Model-free variable selection[J].Journal of the Royal Statistical Society. Series B, Statistical methodology,2005,67(2):285-299.
[10]、E. Androulakis.A new variable selection method for uniform designs[J].Journal of applied statistics,2013,40(12):2564-2578.
[11]、Ai-Jun Qi,Zong-Feng Qi,Qiao-Zhen Zhang.A three-stage variable selection method for supersaturated designs[J].统计学通讯:模拟与计算,2017,46(4):2601-2610.
[12]、Guy-vanie M. Miakonkana,Asheber Abebe.Rank-based group variable selection[J].Journal of nonparametric statistics,2016,28(3):550-562.
[13]、Joseph V. Kingston,Jagdish K. Patel.A restricted subset selection procedure for Weibull populations[J].统计学通讯:理论与方法,2013,42(13):1371-1383.
[14]、Nancy J. Carter,G. David Faulkenberry.A model-based sample selection procedure for one-stage sampling[J].统计学通讯:理论与方法,2013,42(8):3135-3147.
[15]、Bruce E. Barrett,J. Brian Gray.A computational framework for variable selection in multivariate regression[J].Statistics and Computing,1994,4(3):203-212.
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