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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書誌詳細

出版年:	Mathematics
主要な著者:	Xianwen Ding, Xiaoxia Li
フォーマット:	論文
言語:	英語
出版事項:	MDPI AG 2025-04-01
主題:	identification empirical likelihood nonignorable nonresponse nonlinear model
オンライン･アクセス:	https://www.mdpi.com/2227-7390/13/9/1388