On self-consistent estimators and kernel density estimators with doubly censored data

DOI10.1016/S0378-3758(96)00188-7zbMath0890.62030MaRDI QIDQ1372864

Jian-Jian Ren

Publication date: 22 June 1998

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

zbMATH Keywords

asymptotic normalitykernel density estimatorsstrong uniform consistencyright censored datafailure rate functionsurvival distributionkernel-type density estimators based

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Density estimation (62G07) Applications of statistics to biology and medical sciences; meta analysis (62P10) Reliability and life testing (62N05)

Related Items (10)

Nonparametric Estimation of the Bivariate Distribution Function with Doubly Censored Data ⋮ Analysis of left-truncated right-censored or doubly censored data with linear transformation models ⋮ Asymptotic properties of a kernel etimate of the conditional mode in the presence of doubly censored data ⋮ Nonparametric Estimators of the Distribution Function for One Modified Model of Current Status Data ⋮ Estimation in multiple linear regression model with doubly censored data ⋮ Conditional kernel density estimation for some incomplete data models ⋮ Smoothed weighted empirical likelihood ratio confidence intervals for quantiles ⋮ An inverse-probability-weighted approach to the estimation of distribution function with doubly censored data ⋮ Asymptotic normality of kernel estimators based upon incomplete data ⋮ Kernel Survival Function Estimation Based on Doubly Censored Data

Cites Work

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• Nonparametric Estimation of a Survivorship Function with Doubly Censored Data
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• Curve Estimates

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