Bivariate censored regression relying on a new estimator of the joint distribution function

DOI10.1016/J.JSPI.2012.02.046zbMath1244.62141OpenAlexW2053746947MaRDI QIDQ433778

Philippe Saint-Pierre, Olivier Lopez

Publication date: 6 July 2012

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jspi.2012.02.046

zbMATH Keywords

\(M\)-estimationKaplan-Meier estimatorcopula functionsi.i.d. representations

Mathematics Subject Classification ID

Measures of association (correlation, canonical correlation, etc.) (62H20) Censored data models (62N01) Characterization and structure theory for multivariate probability distributions; copulas (62H05) Estimation in survival analysis and censored data (62N02)

Related Items (6)

When Service Times Depend on Customers’ Delays: A Relationship Between Two Models of Dependence ⋮ Non‐parametric Copula Estimation Under Bivariate Censoring ⋮ Study of semiparametric copula models via divergences with bivariate censored data ⋮ Nonparametric bivariate distribution estimation using Bernstein polynomials under right censoring ⋮ Large sample properties of nonparametric copula estimators under bivariate censoring ⋮ A generalization of the Kaplan-Meier estimator for analyzing bivariate mortality under right-censoring and left-truncation with applications in model-checking for survival copula models

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