Empirical likelihood-based confidence intervals for data with possible zero observations Journal Article
| Authors: | Chen, S. X.; Qin, J. |
| Article Title: | Empirical likelihood-based confidence intervals for data with possible zero observations |
| Abstract: | 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 confidence intervals for the mean parameter which have two unique features. One is that the information contained in the zero observations is fully utilized. The other is that the proposed confidence intervals are more reflective to the skewness in the non-zero observations than those based on the asymptotic normality. © 2003 Elsevier B.V. All rights reserved. |
| Keywords: | confidence intervals; empirical likelihood; skewed distribution; zero values |
| Journal Title: | Statistics & Probability Letters |
| Volume: | 65 |
| Issue: | 1 |
| ISSN: | 0167-7152 |
| Publisher: | Elsevier Science, Inc. |
| Date Published: | 2003-10-15 |
| Start Page: | 29 |
| End Page: | 37 |
| Language: | English |
| DOI: | 10.1016/s0167-7152(03)00216-5 |
| PROVIDER: | scopus |
| DOI/URL: | |
| Notes: | Export Date: 12 September 2014 -- Source: Scopus |
