Empirical likelihood confidence intervals for nonparametric functional data analysis
β Scribed by Heng Lian
- Book ID
- 113757674
- Publisher
- Elsevier Science
- Year
- 2012
- Tongue
- English
- Weight
- 220 KB
- Volume
- 142
- Category
- Article
- ISSN
- 0378-3758
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π SIMILAR VOLUMES
In statistical applications, we often encounter a situation where a substantial number of observations takes zero value and at the same time the non-zero observations are highly skewed. We propose empirical likelihood-based non-parametric conΓΏdence intervals for the mean parameter which have two uni
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