Kernel Survival Function Estimation Based on Doubly Censored Data
From MaRDI portal
Publication:3424159
DOI10.1080/03610920600692748zbMath1105.62041OpenAlexW2002820180WikidataQ61853444 ScholiaQ61853444MaRDI QIDQ3424159
Animikh Biswas, Rajeshwari Sundaram
Publication date: 15 February 2007
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610920600692748
Nonparametric regression and quantile regression (62G08) Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20) Censored data models (62N01) Estimation in survival analysis and censored data (62N02)
Related Items (2)
Kernel density estimation based on progressive type-II censoring ⋮ Kernel-based estimation of P(X < Y) when X and Y are dependent random variables based on progressive type II censoring
Cites Work
- Unnamed Item
- 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
- 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
- The performance of kernel density functions in kernel distribution function estimation
- 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
- Some extensions of the asymptotics of a kernel estimator of a distribution function
- Minimum distance estimation in doubly censored two sample scale model
- Smooth estimation of the reliability function
- Kernel distribution function estimation under the Koziol-Green model
- Bandwidth selection for kernel distribution function estimation
- Smoothing parameter selection for smooth distribution functions
- Relative efficiency and deficiency of kernel type estimators of smooth distribution functions
- Mean intergrated squared error properties and optimal kernels when estimating a diatribution function
- Deficiency of the mle of a smooth survival function under the proportional hazard model
- Strong uniform consistency of integrals of density estimators
- Asymptotic Statistics
- Bandwith selection for the smoothing of distribution functions
- Nonparametric Estimation of a Survivorship Function with Doubly Censored Data
- Some New Estimates for Distribution Functions
This page was built for publication: Kernel Survival Function Estimation Based on Doubly Censored Data
