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Multivariate central limit theorem

For independent identically distributed random vectors

Z_{i}

with mean

μ

and finite covariance matrix

V

,

n (\frac{1}{n} \sum_{i = 1}^{n} Z_{i} - μ) d N (0, V) .

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