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Program is Subject to Change
Variance estimation for probability surveys (309879)*Dan Liao, RTI
Variance estimation for probability surveys relies on well-developed theory. In the first part of this lecture, we review Taylor series linearization and replicate-based (e.g., jackknife and balanced repeated replication [BRR]) methods used with weighted survey data. We touch upon components of the sampling design and weighting process to ensure a common understanding. Then, we discuss the relative benefits and limitations of different variance estimation methods through practical examples using different statistical software packages.