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Consistency of semi-parametric maximum likelihood estimator under identifiability conditions for the linear regression model with type I right censoring data.

Authors :
Dong, Junyi
Source :
Communications in Statistics: Theory & Methods. 2023, Vol. 52 Issue 22, p8152-8168. 17p.
Publication Year :
2023

Abstract

The consistency of the semi-parametric maximum likelihood estimator (SMLE) under the semi-parametric linear regression model with right-censoring data (SPLRRC model) has not been studied under the necessary and sufficient condition for the identifiability of the parameters. In this paper, we discuss the necessary and sufficient condition for the consistency of SMLE under type I right censoring. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03610926
Volume :
52
Issue :
22
Database :
Academic Search Index
Journal :
Communications in Statistics: Theory & Methods
Publication Type :
Academic Journal
Accession number :
172840284
Full Text :
https://doi.org/10.1080/03610926.2022.2059679