English

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 LrL^{r}-type depth to the fuzzy setting, studying their properties and illustrating their behaviour with a real data example.

Keywords

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}
}
R2 v1 2026-06-28T14:08:05.220Z