Jackknife empirical likelihood for the error variance in linear errors-in-variables models with missing data
| Autor: | Hong-Xia Xu, Jiang-Feng Wang, Guo-Liang Fan |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
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 |
| Zdroj: | Communications in Statistics - Theory and Methods. 51:4827-4840 |
| ISSN: | 1532-415X 0361-0926 |
| DOI: | 10.1080/03610926.2020.1824274 |
| Popis: | 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... |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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