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.File | Dimensione del file | Formato | |
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