The classical Anderson-Darling test for Gaussianity cannot be applied on correlated data. It is possible to circumvent correlation by resampling the data at wider spacing. A simple resampling criterion is developed using digitally simulated standard Gaussian realizations following a single exponential correlation structure. The effects of resampling on Gaussianity assessment are assessed on actual normalized cone tip resistance profiles from highly homogeneous soil units.
Some observations on assessment of gaussianity for correlated profiles / Uzielli M.; Phoon K.-K.. - CD-ROM. - 2006:(2006), pp. 0-0. (Intervento presentato al convegno GeoCongress 2006 tenutosi a Atlanta, GA, usa nel 2006) [10.1061/40803(187)106].
Some observations on assessment of gaussianity for correlated profiles
Uzielli M.
;
2006
Abstract
The classical Anderson-Darling test for Gaussianity cannot be applied on correlated data. It is possible to circumvent correlation by resampling the data at wider spacing. A simple resampling criterion is developed using digitally simulated standard Gaussian realizations following a single exponential correlation structure. The effects of resampling on Gaussianity assessment are assessed on actual normalized cone tip resistance profiles from highly homogeneous soil units.
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