On cramér-von mises tests of goodness of fit with censored data

DOI10.1080/03610919608813305zbMath0875.62171OpenAlexW2049804776MaRDI QIDQ5283887

Jian-Jian Ren, Glenn Ledder

Publication date: 30 January 1997

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610919608813305

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10)

Cites Work

• Asymptotic properties of self-consistent estimators based on doubly censored data
• Weak convergence of a self-consistent estimator of the survival function with doubly censored data
• Some asymptotic properties of kernel estimators of a density function in case of censored data
• A large sample study of generalized maximum likelihood estimators from incomplete data via self-consistency
• Strong consistency of a nonparametric estimator of the survival function with doubly censored data
• On the nonparametric estimation of covariance functions
• Computational Methods for Integral Equations
• Nonparametric Estimation of a Survivorship Function with Doubly Censored Data
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