Testing for independence in analytic inference
04 Pubblicazione in atti di convegno
Conti Pier Luigi, DI IORIO Alberto
In analytic inference, data usually come from complex sampling designs, possibly with different inclusion probabilities, stratification, of units. The effect of a complex sampling design is that sampling data are not {\em i.i.d.}, even if they are at a superpopulation level. This dramatically changes the probability distribution of usual test-statistics, such as Spearman's Rho. An approach based on a special form of resampling is proposed, and its properties are studied.