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

Junyi Dong

Communications in Statistics - Theory and Methods, 2023, vol. 52, issue 22, 8152-8168

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.

Date: 2023
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DOI: 10.1080/03610926.2022.2059679

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