Back to Search
Start Over
Jackknife empirical likelihood for the error variance in linear errors-in-variables models with missing data
- 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...
- Subjects :
- Statistics and Probability
021103 operations research
Observational error
0211 other engineering and technologies
02 engineering and technology
Missing data
01 natural sciences
Confidence interval
010104 statistics & probability
Empirical likelihood
Error variance
Statistics
Errors-in-variables models
0101 mathematics
Focus (optics)
Jackknife resampling
Mathematics
Subjects
Details
- ISSN :
- 1532415X and 03610926
- Volume :
- 51
- Database :
- OpenAIRE
- Journal :
- Communications in Statistics - Theory and Methods
- Accession number :
- edsair.doi...........231b08407a2f263f51254d9d24b82d61