A simple quantile approach to the two-sample location-scale problem with random censorship

DOI10.1080/10485259608832679zbMath0885.62039OpenAlexW2125533984MaRDI QIDQ4345902

Zhiyi Zhang, Gang Li

Publication date: 29 March 1998

Published in: Journal of Nonparametric Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/10485259608832679

zbMATH Keywords

quantilecensored datatwo-sample problemlocation-scale model

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Asymptotic properties of nonparametric inference (62G20) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05)

Related Items (5)

Function-based hypothesis testing in censored two-sample location-scale models ⋮ Two-sample location-scale estimation from semiparametric random censorship models ⋮ Estimation by method of moment under two-sample location–scale model with random censorship ⋮ Semiparametric Estimation for Two-Sample Location-Scale Models under Type I Censorship ⋮ On Hadamard differentiability in \(k\)-sample semiparametric models -- with applications to the assessment of structural relationships

Cites Work

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• Large sample behaviour of the product-limit estimator on the whole line
• Empirical processes associated with V-statistics and a class of estimators under random censoring
• Large-sample properties for a general estimator of the treatment effect in the two-sample problem with right censoring
• A large sample study of rank estimation for censored regression data
• Linear rank tests with right censored data

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