The Cramér-Wold Theorem states that a random vector has a multivariate distribution if and only if its projections onto all lines in the space have a multivariate normal distribution. This theorem is significant because it provides a useful criterion for identifying multivariate normality, linking linear combinations of variables to the overall distribution of the vector.
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