Empirical likelihood-based confidence intervals for length-biased data
β Scribed by Ning, J.; Qin, J.; Asgharian, M.; Shen, Y.
- Book ID
- 121244915
- Publisher
- John Wiley and Sons
- Year
- 2012
- Tongue
- English
- Weight
- 217 KB
- Volume
- 32
- Category
- Article
- ISSN
- 0277-6715
- DOI
- 10.1002/sim.5637
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Nonparametric versions of Wilks' theorem are proved for empirical likelihood estimators of slope and mean parameters for a simple linear regression model. They enable us to construct empirical likelihood confidence intervals for these parameters. The coverage errors of these confidence intervals are