Pith. sign in

REVIEW 1 cited by

Distribution of Test Statistic for Euclidean Distance Matrices

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2405.10049 v1 pith:K4MQBACW submitted 2024-05-16 cs.RO math.STstat.TH

classification cs.ROmath.STstat.TH
keywords distributionstatistictestdistanceeuclideanmatricesmethodspresented
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
read the original abstract

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.

Discussion (0). Sign in to comment.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. A note on Global Positioning System (GPS) and Euclidean distance matrices

    math.MG 2025-07 conditional novelty 6.0 of 10

    For a fixed satellite distance matrix, the closest squared-pseudorange vector that keeps the augmented Euclidean distance matrix at the right embedding dimension is characterized by a rank condition and found by one-d...

Pith tools