Rank regression for current status data

DOI10.1016/0167-7152(94)00180-GzbMath0835.62055OpenAlexW1978057287MaRDI QIDQ1903171

Jorge Aragón, Adolfo J. Quiroz

Publication date: 26 November 1995

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0167-7152(94)00180-g

zbMATH Keywords

empirical processessurvival analysisinterval censoringU-statistics\(U\)-statisticscurrent status data

Mathematics Subject Classification ID

Asymptotic properties of nonparametric inference (62G20) Linear regression; mixed models (62J05) Nonparametric estimation (62G05) Order statistics; empirical distribution functions (62G30)

Related Items (2)

Estimation in monotone single‐index models ⋮ Rank regression for current-status data: Asymptotic normality

Cites Work

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• U-processes: Rates of convergence
• Universal Donsker classes and metric entropy
• Non-parametric analysis of a generalized regression model. The maximum rank correlation estimator
• Some special Vapnik-Chervonenkis classes
• Robust regression: Asymptotics, conjectures and Monte Carlo
• Hellinger-consistency of certain nonparametric maximum likelihood estimators
• An Empirical Distribution Function for Sampling with Incomplete Information
• Linear regression with censored data
• Gini Regression Analysis
• Estimating Regression Coefficients by Minimizing the Dispersion of the Residuals
• The Limiting Distribution of the Maximum Rank Correlation Estimator
• Convergence of stochastic processes

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