Nonparametric Estimation of the Bivariate Distribution Function with Doubly Censored Data
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Publication:2903811
DOI10.1080/03610926.2010.521280zbMath1244.62046OpenAlexW4252859416MaRDI QIDQ2903811
Publication date: 2 August 2012
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610926.2010.521280
Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05) Censored data models (62N01) Estimation in survival analysis and censored data (62N02)
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
- Strong consistency of a nonparametric estimator of the survival function with doubly censored data
- Kaplan-Meier estimate on the plane
- On negative mass assigned by the bivariate Kaplan-Meier estimator
- Algorithms for computing self-consistent and maximum likelihood estimators with doubly censored data
- On self-consistent estimators and kernel density estimators with doubly censored data
- Nonparametric estimation of the bivariate survival function with truncated data
- Product limit estimates: a generalized maximum likelihood study
- L-estimators and m-estimators for doubly censored data
- The Product-Limit Estimate as an Inverse-Probability-Weighted Average
- The Kaplan–Meier Estimator as an Inverse-Probability-of-Censoring Weighted Average
- On Weak Convergence of Stochastic Processes with Multidimensional Time Parameter
- Estimating a distribution function with truncated data
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