The central limit theorem under semiparametric random censorship models
type: Item
instance of: scholarly article
title: The central limit theorem under semiparametric random censorship models
zbMATH Open document ID: 1056.60021
author: Gerhard Dikta
author: J. K. Ghorai
author: Christian Schmidt
published in: Journal of Statistical Planning and Inference
publication date: 2004-11-29T00:00:00Z
Mathematics Subject Classification ID: 60F05
Mathematics Subject Classification ID: 62E20
zbMATH DE Number: 2119577
zbMATH Keywords: Censored data
zbMATH Keywords: central limit theorem
zbMATH Keywords: Maximum likelihood estimation
zbMATH Keywords: Kaplan-Meier estimator
zbMATH Keywords: Proportional hazards model
MaRDI profile type: Publication
full work available at URL: j.jspi.2003.09.013
OpenAlex ID: W2050385517
cites work: Maximum likelihood estimation of a survival function under the Koziol- Green proportional hazards model
cites work: Asymptotic normality under the koziol-green model
cites work: On semiparametric random censorship models
cites work: The strong law under semiparametric random censorship models
cites work: Weak representation of the cumulative hazard function under semiparametric random censorship models
cites work: Nonparametric Estimation from Incomplete Observations
cites work: Q4113231
cites work: On the Strong Law of Large Numbers and Related Results for Quasi-Stationary Sequences
cites work: Q3395931
cites work: Strong consistency under the Koziol-Green model
cites work: Q4322401
cites work: The central limit theorem under random censorship
cites work: The strong law under random censorship
DOI: 10.1016/J.JSPI.2003.09.013
Recommended article: The central limit theorem under random censorship
Recommended article: The central limit theorem under censoring
Recommended article: On semiparametric random censorship models
Recommended article: The strong law under semiparametric random censorship models
Recommended article: Semi-parametric Random Censorship Models
Recommended article: Asymptotically efficient estimation under semi-parametric random censorship models
description: scientific article; zbMATH DE number 2119577