Sign and signed rank tests for paired functions

Fuente: arXiv
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Main Author: Meyer, Mark J.
Format: Preprint
Published: 2025
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author Meyer, Mark J.
author_facet Meyer, Mark J.
contents Simple nonparametric tests for paired functional data are an understudied area, despite recent advances in similar tests for other types of functional data. While the sign test has received limited treatment, the signed rank-type test has not previously been examined. The aim of the present work is to develop and evaluate these types of tests for functional data. We derive a simple, theoretical framework for both sign and signed rank tests for pairs of functions. In particular, we demonstrate that doubly ranked testing -- a newly developed framework for testing hypotheses involving functional data -- is a useful conduit for examining hypotheses regarding pairs o,f functions. We briefly examine the operating characteristics of all derived tests. We also use the described approaches to re-analyze pairs of functions from a randomized crossover study of heart health during simulated flight.
format Preprint
id arxiv_https___arxiv_org_abs_2509_24170
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Sign and signed rank tests for paired functions
Meyer, Mark J.
Methodology
Statistics Theory
Simple nonparametric tests for paired functional data are an understudied area, despite recent advances in similar tests for other types of functional data. While the sign test has received limited treatment, the signed rank-type test has not previously been examined. The aim of the present work is to develop and evaluate these types of tests for functional data. We derive a simple, theoretical framework for both sign and signed rank tests for pairs of functions. In particular, we demonstrate that doubly ranked testing -- a newly developed framework for testing hypotheses involving functional data -- is a useful conduit for examining hypotheses regarding pairs o,f functions. We briefly examine the operating characteristics of all derived tests. We also use the described approaches to re-analyze pairs of functions from a randomized crossover study of heart health during simulated flight.
title Sign and signed rank tests for paired functions
topic Methodology
Statistics Theory
url https://arxiv.org/abs/2509.24170