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Jackknife empirical likelihood for the error variance in linear errors-in-variables models with missing data

Authors :
Hong-Xia Xu
Jiang-Feng Wang
Guo-Liang Fan
Source :
Communications in Statistics - Theory and Methods. 51:4827-4840
Publication Year :
2020
Publisher :
Informa UK Limited, 2020.

Abstract

Measurement errors and missing data are often arise in practice. Under this circumstance, we focus on using jackknife empirical likelihood (JEL) and adjust jackknife empirical likelihood (AJEL) met...

Details

ISSN :
1532415X and 03610926
Volume :
51
Database :
OpenAIRE
Journal :
Communications in Statistics - Theory and Methods
Accession number :
edsair.doi...........231b08407a2f263f51254d9d24b82d61