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Activity Number: 669
Type: Contributed
Date/Time: Thursday, August 2, 2012 : 10:30 AM to 12:20 PM
Sponsor: Section on Survey Research Methods
Abstract - #305630
Title: A Unified Theory of Empirical Likelihood Ratio Confidence Intervals for Survey Data with Unequal Probabilities
Author(s): Yves Berger*+ and Omar De La riva Torres
Companies: University of Southampton and University of Southampton
Address: Social Statistics, Southampton, SO17 1BJ, United Kingdom
Keywords: Design-based approach ; Stratification ; Unequal inclusion probabilities ; Consistency
Abstract:

Standard confidence intervals based upon a normal distribution can perform poorly when the sampling distribution is not normal. EL confidence intervals may be better in this situation, as EL confidence intervals are determined by the distribution of the data (Rao & Wu 2009). The range of the parameter space is also preserved. This may not be the case for standard confidence intervals based upon a normal distribution, as standard confidence intervals can have negative lower bounds for a positive point estimator. Chen and Sitter (1999) proposed a pseudo EL approach which can be used to construct confidence intervals for the Hájek (1971) ratio estimator (Wu & Rao, 2006). The pseudo EL approach is not entirely appealing (Rao & Wu 2009) as it is not a genuine EL approach, it is not applicable to the Horvitz-Thompson (1952) estimator, and is limited to small sampling fraction. We propose a nov


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