Abstract
This chapter presents empirical likelihood methods for complex surveys. We first focus on point estimation and confidence intervals for the single descriptive finite population mean using the pseudo empirical likelihood method. We then develop general inferential procedures for parameters defined through estimating equations using either the pseudo empirical likelihood approach or the sample empirical likelihood approach. When the population size is unknown and the parameter of interest is the population total, a generalized pseudo empirical likelihood method can be used.
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Wu, C., Thompson, M.E. (2020). Empirical Likelihood Methods. In: Sampling Theory and Practice. ICSA Book Series in Statistics. Springer, Cham. https://doi.org/10.1007/978-3-030-44246-0_8
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DOI: https://doi.org/10.1007/978-3-030-44246-0_8
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