On testing whether new is better than used using randomly censored data

DOI10.1214/aos/1176350276zbMath0613.62123OpenAlexW2001843579MaRDI QIDQ1819518

Yoshiki Kumazawa

Publication date: 1987

Published in: The Annals of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1214/aos/1176350276

zbMATH Keywords

asymptotic normalitynew better than usedMonte Carlo studypowertesting exponentialityKaplan-Meier estimatorcounting processrandom censorshiplife distributionefficiency lossasymptotically valid testsvon Mises functionalvon Mises' method

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Reliability and life testing (62N05)

Related Items (3)

Test for new better than used in convex ordering ⋮ A class of tests for new better than used in expectation with incomplete data ⋮ Tests for increasing failure rate with randomly censored data

This page was built for publication: On testing whether new is better than used using randomly censored data