Stochastic Ordering under Weaker Likelihood-Ratio Shape Conditions

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1. Verfasser: Derbazi, Z.
Format: Preprint
Veröffentlicht: 2026
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author Derbazi, Z.
author_facet Derbazi, Z.
contents We show that the shape hypothesis on a likelihood ratio can be weakened while retaining endpoint criteria for the hazard-rate and usual stochastic orders. The endpoint reduction persists under unimodality of the likelihood ratio and under a sign-pattern condition on the likelihood ratio minus one, with at most two sign changes and a negative right tail. It also follows from a direct superlevel-set criterion involving the same expression, which is useful in particular for discontinuous likelihood ratios.
format Preprint
id arxiv_https___arxiv_org_abs_2605_11973
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Stochastic Ordering under Weaker Likelihood-Ratio Shape Conditions
Derbazi, Z.
Statistics Theory
Probability
60E15 (primary), 60E05 (secondary)
We show that the shape hypothesis on a likelihood ratio can be weakened while retaining endpoint criteria for the hazard-rate and usual stochastic orders. The endpoint reduction persists under unimodality of the likelihood ratio and under a sign-pattern condition on the likelihood ratio minus one, with at most two sign changes and a negative right tail. It also follows from a direct superlevel-set criterion involving the same expression, which is useful in particular for discontinuous likelihood ratios.
title Stochastic Ordering under Weaker Likelihood-Ratio Shape Conditions
topic Statistics Theory
Probability
60E15 (primary), 60E05 (secondary)
url https://arxiv.org/abs/2605.11973