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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.
- 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