The multivariate Laplace-De Moivre Theorem

Jerry Alan Veeh

Journal of Multivariate Analysis, 1986, vol. 18, issue 1, 46-51

Abstract: We find necessary and sufficient conditions for the convergence of (matrix) normed and centered k-variate binomial vectors to a full k-variate normal law. The norming matrices are also characterized. A converse to the univariate Laplace-De Moivre Theorem is obtained.

Keywords: Laplace-De; Moivre; theorem; binomial; vectors; discriminant; analysis (search for similar items in EconPapers)
Date: 1986
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