Asymptotically optimal rank tests for the two-sample problem with randomly censored data

DOI10.1080/03610928808829731zbMath0658.62063OpenAlexW2140852910MaRDI QIDQ3806588

Georg Neuhaus

Publication date: 1988

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610928808829731

zbMATH Keywords

translation familiesdistribution freeasymptotic decision theorytwo-sample testing problemAsymptotically optimal rank testsequal censoringpositive scale families

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10)

Related Items (9)

Completeness of time-ordered indicators in censored data models ⋮ On local odds and hazard rate models in survival analysis ⋮ Local asymptotic normality for randomly censored models with applications to rank tests ⋮ On locally optimal nonparametric tests ⋮ How do bootstrap and permutation tests work? ⋮ Studentized permutation tests for non-i.i.d. hypotheses and the generalized Behrens-Fisher problem ⋮ Unnamed Item ⋮ Weighted Logrank Permutation Tests for Randomly Right Censored Life Science Data ⋮ Monte carlo results for conditional survival tests under randomly censored data

Cites Work

• Unnamed Item
• Mathematical theory of statistics. Statistical experiments and asymptotic decision theory
• Combined Rank Tests for the Two-Sample Problem with Randomly Censored Data
• Linear Nonparametric Tests for Comparison of Counting Processes, with Applications to Censored Survival Data, Correspondent Paper

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