Estimation of a smooth quantile function under the proportional hazards model
From MaRDI portal
Publication:1206625
DOI10.1007/BF00121652zbMath0760.62031MaRDI QIDQ1206625
Publication date: 1 April 1993
Published in: Annals of the Institute of Statistical Mathematics (Search for Journal in Brave)
proportional hazards modelsurvival functionsample quantilemaximum likelihood estimateright censored datamean square errorskernel type estimatorsasymptotic relative deficiencysmooth quantile function
Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05)
Related Items (5)
On testing the proportionality of two cumulative incidence functions in a competing risks setup ⋮ Testing the Koziol--Green model against monotone conditional odds for censoring. ⋮ The Paradoxical Nature of The Proportional Hazards Model of Random Censorship ⋮ A Bayesian adaptive design for two-stage clinical trials with survival data ⋮ A Comparison of Survival Function Estimators in the Koziol–Green Model
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Relative deficiency of kernel type estimators of quantiles
- Strong approximations of the quantile process of the product-limit estimator
- On the asymptotic properties of a kernel type quantile estimator from censored samples
- Maximum likelihood estimation of a survival function under the Koziol- Green proportional hazards model
- Weak asymptotic representations for quantiles of the product-limit estimator
- The product-limit estimator and the bootstrap: Some asymptotic representations
- The mean-square error of Bahadur's order-statistic approximation
- Relative deficiency op kernel type estimators of quantiles based on right censored data
- Approximation Theorems of Mathematical Statistics
- Quantile estimation in the proportional hazards model of random censorship
- A Kernel-Type Estimator of a Quantile Function From Right-Censored Data
- On the mean squared error of nonparametric quantile estimators under random right-censorship
- Estimation of mean residual life with censorded data under the proportional hazard model
- Testing to Determine the Underlying Distribution Using Randomly Censored Data
- Censored Data and the Bootstrap
This page was built for publication: Estimation of a smooth quantile function under the proportional hazards model
