Classification based on tree-structured allocation rules

Brandon K. Vaughn, Qui Wang

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

The authors consider the problem of classifying an unknown observation into 1 of several populations by using tree-structured allocation rules. Although many parametric classification procedures are robust to certain assumption violations, there is need for classification procedures that can be used regardless of the group-conditional distributions that underlie the model. The authors discuss the tree-structured allocation rule. The tree rule is compared with linear discriminant and logistic regression procedures via Monte Carlo and real data analysis.

Original languageEnglish (US)
Pages (from-to)315-340
Number of pages26
JournalJournal of Experimental Education
Volume76
Issue number3
DOIs
StatePublished - Mar 1 2008
Externally publishedYes

Keywords

  • Classification and regression trees
  • Linear discriminant analysis
  • Logistic regression

ASJC Scopus subject areas

  • Education
  • Developmental and Educational Psychology

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