Some Variants of Constrained Estimation in Finite Population Sampling.

Summary: This is a review article that unifies several important examples using constrained optimisation techniques. The basic tools are three simple mathematical optimisation results subject to certain constraints. Applications include calibration, benchmarking in small area estimation and imputation. A final illustration is constrained optimisation under a general divergence loss. [ABSTRACT FROM AUTHOR]