Open Conference Systems, 50th Scientific meeting of the Italian Statistical Society

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Testing for independence in analytic inference
Pier Luigi Conti, Alberto Di Iorio

Last modified: 2018-05-13


In analytic inference, data usually come from complex sampling designs, possibly with different inclusion probabilities, stratification, clustering of units. The effect of a complex sampling design is that sampling data are not 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.


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