# Optimal sample allocation for the Incomplete Stratified Sampling design

@inproceedings{Vitiis2015OptimalSA, title={Optimal sample allocation for the Incomplete Stratified Sampling design}, author={Claudia De Vitiis and Paolo Righi and Marco Dionisio Terribili}, year={2015} }

For sampling surveys aiming at producing estimates for different domains of interest, a sampling design widely adopted in official statistics is the Stratified Simple Random Sampling (SSRS) design in which strata are defined by crossing of the variables that define the domains of estimate. When there are many strata, the SSRS design could be inefficient. We propose an alternative sampling design denoted as Incomplete Stratified Sampling (ISS) design. The design exploits all the potential…

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