Nonparametric estimation of regression parameters from censored data with a discrete covariate
type: Item
instance of: scholarly article
title: Nonparametric estimation of regression parameters from censored data with a discrete covariate
zbMATH Open document ID: 0830.62036
DOI: 10.1016/0167-7152(94)00143-V
author: Mohammad H. Rahbar
author: Joseph C. Gardiner
published in: Statistics \& Probability Letters
publication date: 1996-02-04T00:00:00Z
Mathematics Subject Classification ID: 62G05
Mathematics Subject Classification ID: 62G20
Mathematics Subject Classification ID: 62G07
zbMATH DE Number: 796384
zbMATH Keywords: Kaplan-Meier estimator
zbMATH Keywords: right censored data
zbMATH Keywords: noniterative method of estimation
zbMATH Keywords: simple linear regression
zbMATH Keywords: efficiency
zbMATH Keywords: simulations
zbMATH Keywords: asymptotic normality
zbMATH Keywords: asymptotic variance
MaRDI profile type: Publication
cites work: Linear regression with censored data
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cites work: Consistency results for linear regression with censored data
cites work: Nonparametric Estimation from Incomplete Observations
cites work: Regression analysis with randomly right-censored data
cites work: Linear Models, Random Censoring and Synthetic Data
cites work: Least squares regression with censored data
cites work: Sequential estimarion of functionals of the survival curve under random censorship
cites work: Q3768183
cites work: Large sample theory for an estimator of the mean survival time from censored samples
full work available at URL: 0167-7152(94)00143-v
OpenAlex ID: W2040155070
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description: scientific article; zbMATH DE number 796384