2020/10/14 by Sónia Dias, S. Dias, P. Brito +6 · 2 citations
Decision Sciences · Mathematics · #Advanced Statistical Methods and Models #FOS: Computer and information sciences #Fuzzy Systems and Optimization #Methodology (stat.ME) #Multi-Criteria Decision Making #stat.ME
paper · pdf · doi:10.48550/arxiv.2010.06941
arxiv created 2020/10/14 · openalex publication_date 2020/10/14 · arxiv updated 2020/10/15 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
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 fights.