Testing whether new is better than used with randomly censored data

DOI10.1214/aos/1176346077zbMath0504.62086OpenAlexW2000778484MaRDI QIDQ1836252

Yuan Yan Chen, Naftali A. Langberg, Myles Hollander

Publication date: 1983

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

Full work available at URL: https://doi.org/10.1214/aos/1176346077

zbMATH Keywords

asymptotic normalitynew better than usedKaplan-Meier estimatorexponentialitylife distributionrandomly censored dataefficiency lossasymptotically exact testuncensored model

Mathematics Subject Classification ID

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

Related Items (13)

Testing whether new is better than used of a specified age, with randomly censored data ⋮ Test for new better than used in convex ordering ⋮ Bayes and empirical bayes estimation of the probability that z > x + y ⋮ On some tests for exponentiality against he alteraatives ⋮ Tests for increasing failure rate with randomly censored data ⋮ On testing exponentiality against IFRA alternatives ⋮ Testing an increasing failure rate average distribution with censored data ⋮ Testing exponentiality against increasing failure rate with randomly censored data ⋮ Tests for Increasing Failure Rate Average with Randomly Right Censored Data ⋮ An overview of tests for exponentiality ⋮ A Note on Testing Exponentiality Against New Better Than Used of Specified Age ⋮ A family of test statistics for detecting monotone mean residual life ⋮ Test for DMRL using censored data

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