Nonparametric estimation of a distribution with type I bias with applications to competing risks

DOI10.1080/10485250500038538zbMath1061.62049OpenAlexW2132096296MaRDI QIDQ4675900

Hammou El Barmi, Alessandra Alfieri

Publication date: 6 May 2005

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

Full work available at URL: https://doi.org/10.1080/10485250500038538

zbMATH Keywords

weak convergencenonparametric maximum likelihood

Mathematics Subject Classification ID

Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20) Inequalities; stochastic orderings (60E15) Nonparametric estimation (62G05) Exact distribution theory in statistics (62E15) Estimation in survival analysis and censored data (62N02) Asymptotic properties of parametric tests (62F05)

Related Items (2)

Empirical likelihood ratio test for symmetry against type I bias with applications to competing risks ⋮ On Comparing Cumulative Incidence Functions Using an Empirical Likelihood Ratio Type Test

Cites Work

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• Test of symmetry of a one-dimensional distribution against positive biasedness
• Comparing sub-survival functions in a competing risks model
• A large sample study of the life table and product limit estimates under random censorship
• Likelihood ratio tests for symmetry against one-sided alternatives
• A note on the rate of convergence of a mean
• On the estimation of stochastically ordered survival functions
• On the weak convergence of certain estimators of stochastically ordered survival functions
• Weak convergence of probability measures and random functions in the function space D[0,∞)

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