Discriminant analysis of distributional data via fractional programming

• Tipo: Artigo em Revista Científica Internacional
• Data: 2021

Autores

Dias, S (Autor) Outra; brito, p (Autor) FEP; Amaral, P (Autor) Outra

Revista

Título: European Journal of Operational Research

Vol. 294

Páginas: 206-218

ISSN: 0377-2217

Editora: Elsevier

Indexação

ISI Web of Knowledge - 5 Citações

Scopus - 9 Citações

Outras Informações

ID Authenticus: P-00T-EPK

DOI: 10.1016/j.ejor.2021.01.025

Abstract (EN): We address classification of distributional data, where units are described by histogram or interval-valued variables. The proposed approach uses a linear discriminant function where distributions or intervals are represented by quantile functions, under specific assumptions. This discriminant function allows defining a score for each unit, in the form of a quantile function, which is used to classify the units in two a priori groups, using the Mallows distance. There is a diversity of application areas for the proposed linear discriminant method. In this work we classify the airline companies operating in NY airports based on air time and arrival/departure delays, using a full year flights.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 13