Testing whether new better than used in expectation for random censorship for random censorship

DOI10.1080/07474948608836109zbMath0621.62028OpenAlexW2038644156MaRDI QIDQ3757160

Yoshiki Kumazawa

Publication date: 1986

Published in: Sequential Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/07474948608836109

zbMATH Keywords

asymptotic normalitynew better than used in expectationKaplan-Meier estimatorcounting processrandom censorshipcontiguous alternativesNBUElocally most powerful testscomplete censorship

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Asymptotic distribution theory in statistics (62E20) Asymptotic properties of parametric tests (62F05) Reliability and life testing (62N05)

Related Items (1)

A class of tests for new better than used in expectation with incomplete data

Cites Work

• Large sample behaviour of the product-limit estimator on the whole line
• Nonparametric Estimation from Incomplete Observations
• Approximation Theorems of Mathematical Statistics

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