Please use this identifier to cite or link to this item: https://doi.org/10.1016/S0167-7152(03)00216-5
Title: Empirical likelihood-based confidence intervals for data with possible zero observations
Authors: Chen, S.X. 
Qin, J.
Keywords: Confidence intervals
Empirical likelihood
Skewed distribution
Zero values
Issue Date: 15-Oct-2003
Citation: Chen, S.X., Qin, J. (2003-10-15). Empirical likelihood-based confidence intervals for data with possible zero observations. Statistics and Probability Letters 65 (1) : 29-37. ScholarBank@NUS Repository. https://doi.org/10.1016/S0167-7152(03)00216-5
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.
Source Title: Statistics and Probability Letters
URI: http://scholarbank.nus.edu.sg/handle/10635/105119
ISSN: 01677152
DOI: 10.1016/S0167-7152(03)00216-5
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