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Auteurs principaux: Möttönen, Jyrki, Nordhausen, Klaus, Oja, Hannu, Radojicic, Una
Format: Preprint
Publié: 2023
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Accès en ligne:https://arxiv.org/abs/2308.06264
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author Möttönen, Jyrki
Nordhausen, Klaus
Oja, Hannu
Radojicic, Una
author_facet Möttönen, Jyrki
Nordhausen, Klaus
Oja, Hannu
Radojicic, Una
contents For a set of $p$-variate data points $\boldsymbol y_1,\ldots,\boldsymbol y_n$, there are several versions of multivariate median and related multivariate sign test proposed and studied in the literature. In this paper we consider the asymptotic properties of the multivariate extension of the Hodges-Lehmann (HL) estimator, the spatial HL-estimator, and the related test statistic. The asymptotic behavior of the spatial HL-estimator and the related test statistic when $n$ tends to infinity are collected, reviewed, and proved, some for the first time though being used already for a longer time. We also derive the limiting behavior of the HL-estimator when both the sample size $n$ and the dimension $p$ tend to infinity.
format Preprint
id arxiv_https___arxiv_org_abs_2308_06264
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle The Asymptotic Properties of the One-Sample Spatial Rank Methods
Möttönen, Jyrki
Nordhausen, Klaus
Oja, Hannu
Radojicic, Una
Statistics Theory
For a set of $p$-variate data points $\boldsymbol y_1,\ldots,\boldsymbol y_n$, there are several versions of multivariate median and related multivariate sign test proposed and studied in the literature. In this paper we consider the asymptotic properties of the multivariate extension of the Hodges-Lehmann (HL) estimator, the spatial HL-estimator, and the related test statistic. The asymptotic behavior of the spatial HL-estimator and the related test statistic when $n$ tends to infinity are collected, reviewed, and proved, some for the first time though being used already for a longer time. We also derive the limiting behavior of the HL-estimator when both the sample size $n$ and the dimension $p$ tend to infinity.
title The Asymptotic Properties of the One-Sample Spatial Rank Methods
topic Statistics Theory
url https://arxiv.org/abs/2308.06264