This paper presents a uniformly consistent estimator for the cumulative distribution function, operating under the assumption of “new better than used in expectation” (NBUE). Additionally, it introduces a novel class of consistent tests for the NBUE null hypothesis. Both procedures leverage the empirical total time on test (TTT) transform. Finite sample properties of the proposed methods are investigated through simulations.

(2024). Nonparametric inference for NBUE distributions based on the TTT transform [journal article - articolo]. In STATISTICS & PROBABILITY LETTERS. Retrieved from https://hdl.handle.net/10446/271229

Nonparametric inference for NBUE distributions based on the TTT transform

Lando, Tommaso
2024-01-01

Abstract

This paper presents a uniformly consistent estimator for the cumulative distribution function, operating under the assumption of “new better than used in expectation” (NBUE). Additionally, it introduces a novel class of consistent tests for the NBUE null hypothesis. Both procedures leverage the empirical total time on test (TTT) transform. Finite sample properties of the proposed methods are investigated through simulations.
articolo
2024
Lando, Tommaso
(2024). Nonparametric inference for NBUE distributions based on the TTT transform [journal article - articolo]. In STATISTICS & PROBABILITY LETTERS. Retrieved from https://hdl.handle.net/10446/271229
File allegato/i alla scheda:
File Dimensione del file Formato  
SPL - NBUE.pdf

Solo gestori di archivio

Versione: publisher's version - versione editoriale
Licenza: Licenza default Aisberg
Dimensione del file 599.12 kB
Formato Adobe PDF
599.12 kB Adobe PDF   Visualizza/Apri
Pubblicazioni consigliate

Aisberg ©2008 Servizi bibliotecari, Università degli studi di Bergamo | Terms of use/Condizioni di utilizzo

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10446/271229
Citazioni
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact