Efficient balanced sampling: The cube method

By J. Deville, Yves Tillé. 2004

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Doubly balanced spatial sampling with spreading and restitution of auxiliary totals (2013, methodology): “Deville and Tillé (2004) introduced the cube method, which allows to select unequal or equal probability samples that are balanced or almost balanced on several auxiliary variables.”
Handling class imbalance in customer churn prediction (2009, methodology): “Precision–recall graph. sampling method, we apply CUBE (Deville & Tillé, 2004) as an advanced under-sampling method.”
Properties of design-based functional principal components analysis (2008, methodology): “Moreover, the individuals (e.g. electricity meters) are selected according to balancing techniques (Deville and Tillé, 2004) and consequently they do not have the same probability to belong to the sample.”
Why Well Spread Probability Samples Are Balanced (2013, unknown): “[3].”