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Identification and Empirical Likelihood Inference in Nonlinear Regression Model with Nonignorable Nonresponse

The identification of model parameters is a central challenge in the analysis of nonignorable nonresponse data. In this paper, we propose a novel penalized semiparametric likelihood method to obtain sparse estimators for a parametric nonresponse mechanism model. Based on these sparse estimators, an...

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Principais autores: Xianwen Ding, Xiaoxia Li
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2025-04-01
Serier:Mathematics
Fag:
identification
empirical likelihood
nonignorable nonresponse
nonlinear model
Online adgang:https://www.mdpi.com/2227-7390/13/9/1388
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