Nonparametric estimation of distribution function under right random censoring based on presmoothed relative-risk function
From MaRDI portal
Publication:2019645
DOI10.1134/S1995080221020049zbMath1464.62406OpenAlexW3156040638MaRDI QIDQ2019645
S. B. Bozorov, N. S. Nurmukhamedova, A. A. Abdushukurov
Publication date: 22 April 2021
Published in: Lobachevskii Journal of Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1134/s1995080221020049
asymptotic normalityproportional hazardsasymptotic representationrelative riskstrong consistencyrandom censorshipproduct-limitpresmoothed
Nonparametric estimation (62G05) Censored data models (62N01) Probability distributions: general theory (60E05) Reliability and life testing (62N05)
Related Items
Estimation of conditional jointly survival function under dependent right random censored data ⋮ Asymptotic properties of likelihood ratio statistics in competing risks model under interval random censoring
Cites Work
- Unnamed Item
- Unnamed Item
- The tight constant in the Dvoretzky-Kiefer-Wolfowitz inequality
- Maximum likelihood estimation of a survival function under the Koziol- Green proportional hazards model
- A correction to and improvement of: ``Strong approximations of some biometric estimates under random censorship
- On semiparametric random censorship models
- The length-biased weighted Lindley distribution with applications
- Nonparametric Estimation from Incomplete Observations
- Nonparametric estimation of the survival function from censored data based on relative risk function
- On Nonparametric Estimation of Reliability Indices
- Presmoothed Kaplan–Meier and Nelson–Aalen estimators
- Almost sure asymptotic representation for the presmoothed distribution and density estimators for censored data