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.
Testing for independence in analytic inference / Conti, Pier Luigi; DI IORIO, Alberto. - ELETTRONICO. - (2018), pp. 1188-1193. (Intervento presentato al convegno 49th Scientific meeting of the Italian Statistical Society tenutosi a Palermo).
Testing for independence in analytic inference
Pier Luigi Conti
Methodology
;Alberto DI IorioMethodology
2018
Abstract
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.File | Dimensione | Formato | |
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