Distribution of Test Statistic for Euclidean Distance Matrices

Fuente: arXiv
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Main Author: Beatty, Dawson
Format: Preprint
Published: 2024
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author Beatty, Dawson
author_facet Beatty, Dawson
contents Methods for global navigation satellite system fault detection using Euclidean Distance Matrices have been presented recently in the literature. Published methods define a test statistic in terms of eigenvalues of a certain matrix, but the distribution of the test statistic was not known, which presented a barrier to practical implementation. This document was a personal correspondence from Beatty to Derek Knowles. It includes a brief derivation of the distribution of the test statistic and a representative case showing that the theoretical distribution closely matches a simulated empirical distribution.
format Preprint
id arxiv_https___arxiv_org_abs_2405_10049
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Distribution of Test Statistic for Euclidean Distance Matrices
Beatty, Dawson
Robotics
Statistics Theory
Methods for global navigation satellite system fault detection using Euclidean Distance Matrices have been presented recently in the literature. Published methods define a test statistic in terms of eigenvalues of a certain matrix, but the distribution of the test statistic was not known, which presented a barrier to practical implementation. This document was a personal correspondence from Beatty to Derek Knowles. It includes a brief derivation of the distribution of the test statistic and a representative case showing that the theoretical distribution closely matches a simulated empirical distribution.
title Distribution of Test Statistic for Euclidean Distance Matrices
topic Robotics
Statistics Theory
url https://arxiv.org/abs/2405.10049