Empirical process approach in a two-sample location-scale model with censored data

DOI10.1214/AOS/1032181176zbMath0867.62018OpenAlexW2005247889MaRDI QIDQ1354483

Fushing Hsieh

Publication date: 3 August 1997

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

Full work available at URL: https://doi.org/10.1214/aos/1032181176

zbMATH Keywords

heterogeneitylocationstrong approximationlinear rank testsaccelerated failure time modelscalegeneralized least squares estimatorlocation-scale modellog-rank testsgeneralized Kiefer processempirical process approach\(K\)-sample problemK-sample problemKaplan-Meier product-limit empirical quantile processlog-transformed dataright-censored failure timessemiparametric ANOVA

Mathematics Subject Classification ID

Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05) Order statistics; empirical distribution functions (62G30)

Related Items (8)

Symmetric Location Estimation/Testing by Empirical Likelihood ⋮ Function-based hypothesis testing in censored two-sample location-scale models ⋮ Estimations in homoscedastic linear regression models with censored data: An empirical process approach ⋮ Semiparametric efficient inferences for lifetime regression model with time-dependent covariates ⋮ Two-sample location-scale estimation from semiparametric random censorship models ⋮ On Hadamard differentiability in \(k\)-sample semiparametric models -- with applications to the assessment of structural relationships ⋮ A Bayesian Non‐parametric Comparison of Two Treatments ⋮ Nonparametric additive location-scale models for interval censored data

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Estimation in a linear regression model with censored data
• Estimating regression parameters using linear rank tests for censored data
• Monte Carlo evidence on adaptive maximum likelihood estimation of a regression
• A correction to and improvement of: ``Strong approximations of some biometric estimates under random censorship
• Asymptotically optimal bandwidth selection for kernel density estimators from randomly right-censored samples
• On adaptive estimation
• Some properties of the Kaplan-Meier estimator for independent nonidentically distributed random variables
• Smoothing in adaptive estimation
• Asymptotic normality of the `synthetic data' regression estimator for censored survival data
• Empirical smoothing parameter selection in adaptive estimation
• Estimations in homoscedastic linear regression models with censored data: An empirical process approach
• Nonparametric and semiparametric estimation of the receiver operating characteristic curve
• A large sample study of rank estimation for censored regression data
• Nonparametric Estimation for a Scale-Change with Censored Observations
• Strong approximations of some biometric estimates under random censorship
• Nonparametric analysis of an accelerated failure time model
• Rank Tests of Dispersion

This page was built for publication: Empirical process approach in a two-sample location-scale model with censored data