Depth for samples of sets with applications to testing equality in distribution of two samples of random sets

Fuente: arXiv
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Autore principale: Đogaš, Vesna Gotovac
Natura: Preprint
Pubblicazione: 2024
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author Đogaš, Vesna Gotovac
author_facet Đogaš, Vesna Gotovac
contents This paper introduces several depths for random sets with possibly non-convex realisations, proposes ways to estimate the depths based on the samples and compares them with existing ones. The depths are further applied for the comparison between two samples of random sets using a visual method of DD-plots and statistical testing. The advantage of this approach is identifying sets within the sample that are responsible for rejecting the null hypothesis of equality in distribution and providing clues on differences between distributions. The method is justified using a simulation study and applied to real data consisting of histological images of mastopathy and mammary cancer tissue.
format Preprint
id arxiv_https___arxiv_org_abs_2402_01861
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Depth for samples of sets with applications to testing equality in distribution of two samples of random sets
Đogaš, Vesna Gotovac
Methodology
Applications
Computation
62G10, 60Dxx 62G10 62Gxx, 60D05
This paper introduces several depths for random sets with possibly non-convex realisations, proposes ways to estimate the depths based on the samples and compares them with existing ones. The depths are further applied for the comparison between two samples of random sets using a visual method of DD-plots and statistical testing. The advantage of this approach is identifying sets within the sample that are responsible for rejecting the null hypothesis of equality in distribution and providing clues on differences between distributions. The method is justified using a simulation study and applied to real data consisting of histological images of mastopathy and mammary cancer tissue.
title Depth for samples of sets with applications to testing equality in distribution of two samples of random sets
topic Methodology
Applications
Computation
62G10, 60Dxx 62G10 62Gxx, 60D05
url https://arxiv.org/abs/2402.01861