Bootstrap-based tests for the total time on test and the excess wealth orders

Fuente: arXiv
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Autori principali: Lando, Tommaso, Legramanti, Sirio
Natura: Preprint
Pubblicazione: 2023
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author Lando, Tommaso
Legramanti, Sirio
author_facet Lando, Tommaso
Legramanti, Sirio
contents Given a pair of non-negative random variables $X$ and $Y$, we introduce a class of nonparametric tests for the null hypothesis that $X$ dominates $Y$ in the total time on test order. Critical values are determined using bootstrap-based inference, and the tests are shown to be consistent. The same approach is used to construct tests for the excess wealth order. As a byproduct, we also obtain a class of goodness-of-fit tests for the NBUE (New Better than Used in Expectation) family of distributions.
format Preprint
id arxiv_https___arxiv_org_abs_2310_13339
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Bootstrap-based tests for the total time on test and the excess wealth orders
Lando, Tommaso
Legramanti, Sirio
Statistics Theory
62G10, 60E15
Given a pair of non-negative random variables $X$ and $Y$, we introduce a class of nonparametric tests for the null hypothesis that $X$ dominates $Y$ in the total time on test order. Critical values are determined using bootstrap-based inference, and the tests are shown to be consistent. The same approach is used to construct tests for the excess wealth order. As a byproduct, we also obtain a class of goodness-of-fit tests for the NBUE (New Better than Used in Expectation) family of distributions.
title Bootstrap-based tests for the total time on test and the excess wealth orders
topic Statistics Theory
62G10, 60E15
url https://arxiv.org/abs/2310.13339