A variable selection technique in discriminant analysis with application in marketing data

A. K. Gupta, T. P. Logan, Jie Chen

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

In this paper, we have developed a likelihood ratio factorization technique for variable selection for multiple observations model. The asymptotic distribution of the selection criterion is also given. This technique has been applied to a marketing data set for illustration of the technique developed.

Original languageEnglish (US)
Pages (from-to)187-199
Number of pages13
JournalJournal of Statistical Computation and Simulation
Volume63
Issue number2
DOIs
StatePublished - Jan 1 1999
Externally publishedYes

Fingerprint

Discriminant analysis
Variable Selection
Discriminant Analysis
Factorization
Marketing
Likelihood Ratio
Asymptotic distribution
Variable selection
Model

Keywords

  • Hierarchical model
  • Likelihood ratio factorization technique
  • Multiple observations
  • Multivariate normal distribution

ASJC Scopus subject areas

  • Statistics and Probability
  • Modeling and Simulation
  • Statistics, Probability and Uncertainty
  • Applied Mathematics

Cite this

A variable selection technique in discriminant analysis with application in marketing data. / Gupta, A. K.; Logan, T. P.; Chen, Jie.

In: Journal of Statistical Computation and Simulation, Vol. 63, No. 2, 01.01.1999, p. 187-199.

Research output: Contribution to journalArticle

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