Abstract
Practical issues in the design of a dual frame or multiple frame survey are highly related to the characteristics of the target population and the availability of sampling frames. This chapter focuses on issues with estimation using data from dual or multiple frame surveys. Pseudo empirical likelihood methods and the concept of multiplicity are shown to be very useful for point estimation and confidence intervals, especially for estimating population means of binary study variables such as the prevalence of a disease or the proportion of the population with a rare condition.
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