Linear discriminant analysis for interval data

• Tipo: Artigo em Revista Científica Internacional
• Data: 2006

Autores

silva, apd (Autor) Outra; brito, p (Autor) FEP

Revista

Título: Computational Statistics

Vol. 21 Nº 2

Páginas: 289-308

ISSN: 0943-4062

Editora: Springer Nature

Indexação

ISI Web of Knowledge - 50 Citações

Scopus - 54 Citações

Classificação Científica

FOS: Ciências exactas e naturais > Matemática

Outras Informações

ID Authenticus: P-004-PDN

DOI: 10.1007/s00180-006-0264-9

Abstract (EN): This paper compares different approaches to the multivariate analysis of interval data, focusing on discriminant analysis. Three fundamental approaches are considered. The first approach assumes an uniform distribution in each observed interval, derives the corresponding measures of dispersion and association, and appropriately defines linear combinations of interval variables that maximize the usual discriminant criterion. The second approach expands the original data set into the set of all interval description vertices, and proceeds with a classical analysis of the expanded set. Finally, a third approach replaces each interval by a midpoint and range representation. Resulting representations, using intervals or single points, are discussed and distance based allocation rules are proposed. The three approaches are illustrated on a real data set.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 20