Projection depth and $L^r$-type depths for fuzzy random variables
Statistics Theory
2024-01-05 v1 Statistics Theory
Abstract
Statistical depth functions are a standard tool in nonparametric statistics to extend order-based univariate methods to the multivariate setting. Since there is no universally accepted total order for fuzzy data (even in the univariate case) and there is a lack of parametric models, a fuzzy extension of depth-based methods is very interesting. In this paper, we adapt projection depth and -type depth to the fuzzy setting, studying their properties and illustrating their behaviour with a real data example.
Cite
@article{arxiv.2401.01894,
title = {Projection depth and $L^r$-type depths for fuzzy random variables},
author = {Luis González-De La Fuente and Alicia Nieto-Reyes and Pedro Terán},
journal= {arXiv preprint arXiv:2401.01894},
year = {2024}
}