Discriminant analysis of distributional data via fractional programming

• Type: Article in International Scientific Journal
• Date: 2021

Authors

Dias, S (Author) Other; brito, p (Author) FEP; Amaral, P (Author) Other

Journal

Title: European Journal of Operational Research

Vol. 294

Pages: 206-218

ISSN: 0377-2217

Publisher: Elsevier

Indexing

ISI Web of Knowledge - 5 Citations

Scopus - 9 Citations

Other information

Authenticus ID: 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 13