Lower variance bounds and a new proof of the central limit theorem
Lower variance bounds are derived for functions of a random vector X, thus extending previous results. Moreover, the w-function associated X is shown to characterize its distribution, and a special application shows the multivariate central limit theorem.
Year of publication: |
1992
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Authors: | Cacoullos, T. ; Papathanasiou, V. |
Published in: |
Journal of Multivariate Analysis. - Elsevier, ISSN 0047-259X. - Vol. 43.1992, 2, p. 173-184
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Publisher: |
Elsevier |
Subject: | Variance inequalities Stein's identity CLT |
Saved in:
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