Properties of the marginal survival functions for dependent censored data under an assumed Archimedean copula

DOI10.1016/J.JMVA.2014.04.009zbMath1360.62482OpenAlexW2020751816MaRDI QIDQ2015055

Antai Wang

Publication date: 18 June 2014

Published in: Journal of Multivariate Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jmva.2014.04.009

zbMATH Keywords

copula-graphic estimatorArchimedean copula modelsdependent censored data

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05) Censored data models (62N01) Characterization and structure theory for multivariate probability distributions; copulas (62H05) Reliability and life testing (62N05)

Related Items (7)

Competing risks driven by Mittag-Leffler distributions, under copula and time transformed exponential model ⋮ Joint modelling of longitudinal measurements and survival times via a multivariate copula approach ⋮ The Identifiability of Copula Models for Dependent Competing Risks Data With Exponentially Distributed Margins ⋮ A single risk approach to the semiparametric competing risks model with parametric Archimedean risk dependence ⋮ Copula modeling from Abe Sklar to the present day ⋮ The Identifiability of Dependent Competing Risks Models Induced by Bivariate Frailty Models ⋮ Estimation of the cumulative baseline hazard function for dependently right-censored failure time data

Cites Work

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