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central limit theorem

 

Definition: the sum (or average) of n realizations of the same process, provided only that it has a finite variance, will approach the gaussian distribution as n becomes indefinitely large. This theory provides a broad warrant for the use of normal theory even for nongaussian data. In the form stated here, it constitutes the classical version; more general versions allow serious relaxation of the usual assumptions.

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© Copyright 2017 Wolters Kluwer. All Rights Reserved. Review Date: Sep 19, 2016.
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